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to deal with such environment , hausknecht and stone introduced the deep recurrent q-networks . | hausknecht and stone proposed deep recurrent q-network based on a long short term memory network . |
the candidate from particle physics responsible for driving inflation is a scalar field , which is called the inflaton field , φ . | the inflaton is a natural candidate for a ngb as we have discussed , because of the necessary flatness of the potential . |
recent years have yielded rapid advances in the field of deep learning , largely due to the unparalleled effectiveness of convolutional neural networks on a variety of difficult problems . | recent successes in machine learning have shown that difficult perceptual tasks can be tackled efficiently using deep neural networks . |
even though fj is not the first operational model of nominally-typed oop , yet fj is the most widely known operational model of a nominally-typed mainstream oo language , namely java . | even though fj is not the first operational model of nominally-typed oop , fj is the most widely known operational model of a nominally-typed mainstream oo language , namely java . |
eamformers are used to steer the beam of a phased array antenna by controlling the phase added to the signal at each antenna element . | obfns are used in wireless communication systems to steer phased array antennas in the desired direction by making use of positive interference of synchronized signals . |
on explicit bounds for the spectral gap on compact manifolds . | on the spectral gap for compact manifolds . |
willis , amenable and weakly amenable banach algebras with compact multiplication . | dales , amenability and weak amenability for beurling and lipschitz algebras . |
now we proceed on to define the notion of s-definite special ideal related with the ring contained in s-definite special field . | we now proceed on to define notions analogues to galois group of automorphisms for s-definite special field . |
omniglot is a dataset of over 1623 characters from 50 different alphabets . | omniglot is a set of images of 1623 handwritten characters from 50 alphabets with 20 examples for each class . |
the derived functors of rational k-theory and cyclic homology . | the derived functor of negative cyclic homology . |
carlevaris-bianco and eustice introduce the generic linear constraint factors and the nonlinear graph sparsification method , respectively . | carlevaris-bianco and eustice introduce the generic linear constraint factors and the nonlinear graph sparsification , respectively . |
dbscan is a density-based data clustering algorithm because it finds a number of clusters starting from the estimated density distribution of corresponding nodes . | dbscan is a density-based algorithm which discovers clusters with arbitrary shape using minimal number of input parameters . |
it follows that the probability that the first set of arcs forms . | it follows that the probability that the first set of arcs forms an . |
hashednets is a recent technique to reduce model sizes by using a hash function to randomly group connection weights , so that all connections within the same hash bucket share a single parameter value . | hashednets is a recent technique to reduce model size by using a hash function to randomly group connection weights , so that all connections within the same hash bucket share a single parameter value . |
the space spanned by ideal boson-fermion states that are selected with the aid of the above particle number considerations is called the ideal subspace . | let s be the subspace of t which is the union of all arcs joining postcritical points . |
such models have been applied to machine translation , image caption generation , or dialogue systems . | examples include machine translation , image captioning and dialogue systems . |
the classical morrey spaces l p , λ were introduced by morrey in 1938 to study the local behavior of solutions of second order elliptic partial differential equations . | the classical morrey space l p , λ was introduced by morrey in connection with elliptic partial differential equations . |
deep neural networks are powerful representation learning models which achieve near-human performance in image recognition tasks . | deep neural networks are widely used for many applications including object recognition . |
hester and hirschberg have provided an extensive survey on average case analysis of list accessing algorithms . | hester and hirschberg have provided an extensive survey of average case analysis of list update algorithms . |
the overall error performance is dominated by the minimum singular value λns . | further optimization of angles are based upon minimizing the average error performance . |
among these algorithms , we are specially interested in sabmp as it is capable of mmse estimation even if the distribution of the unknown vector is not available . | among such sparse recovery methods , we are interested specifically in sabmp due to its nature of fulfilling our requirements . |
deep convolutional neural networks have demonstrated great success in various machine intelligence areas and enabled new advancement for applications such as video content understanding . | in recent years , deep learning methods , and in particular convolutional neural networks , have achieved considerable success in a range of computer vision applications including object recognition . |
there has been much previous work studying a 1 and related sets by exploiting this fourier structure . | there has been much previous work studying a and related sets by exploiting this fourier structure . |
we use the svm classifiers from scikit-learn with an rbf kernel and a scaled gamma . | as classifier we use a traditional model , a support vector machine with linear kernel implemented in scikit-learn . |
large-scale multiple-input multiple-output systems , also known as massive mimo systems , are considered as a promising technique for next generations of wireless communication networks . | cloud radio access network and massive multiple-input multiple-output are regarded as two key technologies for future wireless systems . |
deep neural networks have been widely applied and achieved state-of-art performance on a variety of tasks including image recognition . | deep neural networks have achieved great success across a broad range of domains , such as computer vision , speech processing and natural language processing . |
recently , deterministic deep neural networks have demonstrated state-of-the-art performance on many supervised tasks , eg , speech recognition . | in the last decade , convolutional neural networks have shown state of the art accuracy on a variety of visual recognition tasks such as image classification . |
the main drawback of the results in is that if a controller fails to exist for the symbolic model , nothing can be concluded regarding the existence of a controller for the original control system . | however , analogously to the results in the main drawback of these approaches is that if a controller fails to exist for the proposed symbolic models , nothing can be concluded regarding the existence of a controller for the original control system . |
it follows from theorem 3 6 that c is a subset of d . | so we see that theorem c is a direct consequence of theorem b . |
the embedding subnetwork is comprised of a sequence of 4 residual blocks , each comprised of two 2d-convolutional layers . | the content encoder is made of several 2d convolutional layers followed by several residual blocks . |
the pileup contribution to the jet energy is estimated on an event-by-event basis using the jet area method described in and is subtracted from the overall jet p t . | the contribution to the jet energy from pile-up is estimated on an event-by-event basis using the jet area method described in ref , and is subtracted from the overall jet p t . |
the lagrangian consists of three pieces that have to be investigated separately . | for the lagrangian in is the hamiltonian . |
this property appeared recently in the paper in connection with property ptq for discrete quantum groups , where g with representations of bounded degree was termed low . | the latter class has recently appeared in the literature in connection with property for discrete quantum groups . |
the squid is a uniquely superconducting electronic device discovered in the mid-1960s that is most sensitive detector of magnetic fields . | the squid comprises two identical josephson junctions with critical current ic and capacitance cj . |
in recent years , convolutional neural networks have become the dominant approach for various tasks including classification . | along this direction , convolutional neural networks have been very successful in various computer vision and natural language processing tasks in recent years . |
several other works with focus on classifying users based on their mobility periodicity , or a combination of mobility statistics . | several other works with focus on classifying users based on their mobility periodicity . |
the origin of this violation is a highly intermittent dynamics characterized by large fluctuations and strongly non-gaussian statistics . | the origin of the violation is the difference between the force acting on the tagged particle , f1 , and the effective force , feff 1 . |
our general conclusion regarding gradient descent methods is that in such cases the faster gradient descent methods offer substantial advantages . | our general conclusion is that in situations where many steepest descent steps are required , thus building slowness into the solution procedure , the faster gradient descent method offers substantial advantages . |
data reduction was performed with the miriad software package . | data reduction was carried out with the miriad software package using standard procedures . |
for a faster processing time , we consider a rather shallow pretrained cnn architecture , namely vgg-f . | in order to obtain automatic features , we experiment with multiple cnn architectures , such as vgg-face . |
several researchers have observed that the main bottleneck in mapreduce is the network . | however , it is consistently reported that the network is typically the bottleneck for large-scale mapreduce tasks . |
firstly , it has been proved in that any completely monotonic function can be approximated as a sum of exponential functions . | firstly , it has been shown in that any completely monotonic function can be approximated as a sum of exponential functions . |
agosta et al approached the security and privacy problems involved in the key derivation algorithm adopted by the widespread z-wave home automation protocol . | agosta et al approached the security and privacy problems involved the key derivation algorithm adopted by the widespread z-wave home automation protocol . |
particularly , generative adversarial networks and variational auto-encoders have shown significant promise in this direction . | two notable approaches in this area are variational auto-encoders as well as generative adversarial networks . |
zwicklbauer et al introduce a method to annotate table headers by mining column content . | by mining column content , zwicklbauer et al propose a method to annotate table headers . |
recently , deep neural networks has achieved great success on computer vision . | recently , deep learning methods have made remarkable progress in computer vision and machine learning . |
we now proceed as in that carries a natural structure of ν-twisted module for the vertex operator algebra s . | we proceed as in that carries a natural structure of ν-twisted module for s . |
this feature can be realized by pre-cancellation of multiuser interference using the optimal dirty paper coding . | it is well known that the capacity of the vector gbc can be achieved by nonlinear dirty paper coding . |
the p-wave pairing is dominated by the vertex correction . | the vertex correction suppresses the p-wave pairing . |
deep neural networks have been continuously achieving breakthroughs in many challenging ai domains , such as image recognition . | deep convolutional neural networks have made significant breakthroughs in many visual understanding tasks including image classification . |
this frame structure requires accurate synchronization among sus , achievable using techniques developed in . | this frame structure requires accurate synchronization among sus , which can be achieved using techniques developed in . |
cosmic strings are linear topological defects that can be produced in the early universe via phase transitions . | cosmic strings are line-like topological defects which m a y form during phase transitions in the early universe . |
in this section we shall introduce the reader to the new resummation technique for the multipolar waveform introduced in ref . | here , we shall briefly explain the new , parameter-free resummation technique for the multipolar waveform introduced in ref . |
as figure 1 shows , the feature learning method is an upgraded version of the skip-gram architecture , which was originally developed for natural language processing and word embedding . | the feature learning methods are based on the skip-gram architecture , which is originally developed for natural language processing and word embedding . |
as stated in , the hard parameter sharing paradigm is still pervasive for neural-network based mtl . | current mtl deep model research is dominated by the direct parameters sharing approach . |
we prove the following result theorem a . | the precise result we prove is the following theorem c . |
it may be shown that for suitable choices of ψ the wavelet transform is invertible , we will not use that property here . | it may be shown that , for suitable choices of ψ , the wavelet transform is invertible , but we will not use that property here . |
deep neural networks have been significantly successful in many artificial intelligence tasks such as im- age classification . | in recent years , convolutional neural networks have achieved significant success in many computer vision tasks , including the super-resolution problem . |
bridgeland introduced the notion of a stability condition on a triangulated category in . | the notion of stability conditions on a c-linear triangulated category was introduced by bridgeland in . |
fundamentally , 2d gabor filter refers a linear filter whose impulse response function defines as the multiplication of harmonic function and gaussian function . | two-dimensional gabor filter refers a linear filter whose impulse response function is defined as the multiplication of harmonic function and gaussian function . |
we argue that the definition of the correlation function should be consistent with this equivalence structure . | we require that indistinguishable observables must lead to the same correlation function . |
as graphene is a zero band gap material , one of the routes to make use of graphene in electronics industry is to create a small band gap by means of functionalization with external chemical agents . | nevertheless , graphene is a semimetal , ie a zero bandgap material with negligible density of states at the fermi energy , which limits its suitability for electronic or optoelectronic devices . |
the molecular atomization energies in these databases were computed using the hybrid density functional pbe0 . | molecular atomization energies from these databases were computed using the pbe0 hybrid density functional . |
when the polytope is a 4-dimensional simplex , the concept of reflexive simplex . | a polytope is the convex hull of a point set , and conv denotes the convex hull of a . |
fortunately , a special class of nonlinear theory of massive gravity has been successfully found by de rham , gabadadze , and tolley , dubbed as drgt massive gravity theory . | however , more recently a ghost-free nonlinear theory of a massive spin-2 field -de rham-gabadadze-tolley massive gravity -was proposed . |
by analyzing the formation of the black ring horizon in this system , we are able to understand the feature of the black ring formation in n-particle systems in higher-dimensions . | using this method , we are able to calculate the initial data of moving particles and understand the effect of motion on the ring horizon formation . |
we consider the fifth order ssp ts methods m2 , m3 , and m3 , and compare their performance to the ssp mdrkmethod in , and the non-ssp dormand prince method . | we also consider the sixth order ssp ts methods m2 , m3 , and m3 , as well as the mdrkfrom and the non-ssprkmethod . |
some recent studies have shown that deep learning algorithms are successfully used for medical imaging applications . | machine learning algorithms have been successfully applied to diagnostic and prognostic endeavors in pathology . |
latent dirichlet allocation is one of the best-known topic models . | latent dirichlet allocation -shown in figure 9a -is one of the most popular topic models . |
string theory is a perturbative approach depending on the choice of the background metric , while loop quantum gravity is a canonical approach that does not treat time on an equal footing with space . | within string theory this is the case for the dilaton field whose expectation value is related to the gauge coupling constant at the unification scale . |
the data are compared with an nlo qcd calculation based on collinear factorisation and dglap evolution . | the data are compared with two qcd calculations , one based on collinear factorisation in nlo . |
the dashed vertical line represents the significance level of the tests . | the dashed vertical line represents the significance level of the tests each species . |
as we will show , there is general agreement between model and observation for various properties of the galaxy population . | as we can see , the reasonably good agreement between model prediction and observation also extends to the k-band , in which galaxy luminosity traces the stellar mass . |
deep generative networks including variational auto-encoders and generative adversarial nets have enabled effective modeling of high-dimensional data with a low-dimensional latent space . | deep generative models such as variational autoencoders and generative adversarial networks have played a prominent role in the advancement of unsupervised learning . |
in this paper we adopt resnet owing to its good performance and simplicity . | in this study we use u-resnet , a hybrid of the unet design pattern . |
however we should note that this generating function does not include the winding mode of the theory . | note that the nontrivial reflection amplitude does not exist in this case . |
the methods presented in is based on solving the integral equation then computing the function h by to obtain the boundary values of the mapping function . | the method described in requires solving a boundary integral equation with the generalized neumann kernel . |
in the case where the cyclic prefix is equal to or longer than the channel length , the hybrid ls-lmmse algorithm will apply directly the lmmse channel estimation technique . | it is clear that in this case where the channel length exceeds the cyclic prefix length , the hybrid ls-lmmse channel estimator shows its true efficiency . |
it is anticipated that either of these schemes , and potentially any scheme , may come with an associated gain compression , as in refwhere harmonic injection was used to set the fundamental output phase at a cost of reducing output power . | it is anticipated that either of these schemes , and potentially any scheme , may come with an associated gain compression , as in where harmonic injection was used to set the fundamental output phase at a cost of reducing output power . |
furthermore , while diffusion is the mechanism whereby interfaces move in the ising model with ncop , as stated by is obeyed , showing a non brownian character . | while diffusion is the primary mechanism for dampening fluctuations at high density , viscosity becomes more important at small net baryon density . |
our choice of the positive-frequency wightman function is motivated by the fact that this function will also determine the response of a unruh-de witt detector . | the correlation function can be obtained from the complete set of solutions and hence the response of an unruh-dewitt detector . |
for the svm and other experiments , we used the implementation from scikit-learn . | we used the scikit-learn implementation with lof , osvm , if , knn , svm , rf and nn . |
moreover , many recent works showed that neural networks can be successfully used in a number of tasks in natural language processing , such as machine translation . | recurrent neural networks , as a class of deep convolutional networks , have recently shown great promise in tackling many sequence modelling tasks in machine learning , such as automatic speech recognition . |
a manifold for which the riemannian measure is the only 2 microlocal lift is called quantum uniquely ergodic . | if the sample has the shape of a grain , it is called a quantum dot . |
recently , generative adversarial networks has shown outstanding performance in conditional transfer of pixel-level knowledge . | in particular , generative adversarial network variants have achieved state-of-the-art results for image-to-image translation task . |
single photons are very robust carriers of quantum information that can be used for quantum simulations as well as other applications in quantum technology . | single photon emitters are a fundamental element for many quantum information processing and communication technologies . |
each node also periodically checks it backpointer and inter-level constraints . | each node periodically checks to see if its backpointer or inter-level constraints have been violated . |
more recently , many end-to-end cnn models have also been proposed for image deblurring . | more recently , many end-to-end cnn models for image deblurring have also been proposed . |
in related work , address the question of how many original packets are revealed before the whole block is decoded in a fountain code setting . | in related work , address the question of how many original packets are revealed before the whole block is decoded . |
for a topological space y denote by sh the abelian category of sheaves of complex vector spaces on y . | if x is any topological space , let 2x denote the set of all closed subsets of x . |
the data were reduced using standard procedures in miriad . | the data were reduced using the miriad package . |
it remains to ensure gauge invariance , which is the most crucial ingredient . | gauge invariance is the main issue we addressed . |
consider a luttinger liquid in one dimension with forward scattering short range mutual interactions in the presence of a scalar potential that is localized near an origin . | consider a luttinger liquid in one dimension with forward scattering short range mutual interactions in the presence of a heavy particle moving with speed small compared with the fermi velocity v f . |
the dft calculations are done within the generalized gradient approximation and the perdewburke-ernzerhof exchange correlation function . | the exchange and correlation effects were treated within the generalized gradient approximation . |
convolutional neural networks have achieved remarkable success in many computer vision domains such as classification . | for image segmentation , fully convolutional neural networks have set the benchmark performance in medical imaging . |
it is not easy to explain the origin of this effect within our fully relativistic model . | it is not easy to understand why the obtained results are so different from well-established non-relativistic predictions . |
generative adversarial networks provide an important approach for learning a generative model which generates samples from the real-world data distribution . | generative adversarial networks were first introduced in 2014 as a generative model that attempts to capture the underlying distribution of complex real world data sets . |
the generalized gradient approximation parameterized by perdew-burkeernzerhof for the exchange-correlation functional was used . | the exchange and correlation functional employed was the generalized gradient approximation in the parametrization due to perdew-burke-ernzerhof . |
a hilbert space is a hilbert module over c . | to begin with , we recall that two different orthonormal bases a and are called b of a d-dimensional hilbert space h b . |
with minor modifications , the analysis and calculations in refs can be employed to show how the model works , which are not redescribed here . | with some modifications , the analysis and calculations in references can be employed to show how the model works , which are described in appendix . |
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