text: 320,72,1470674171545927680,1381477369903513601,Ilker Birbil @ UvA,"We’ve just released our new meta-learning algorithm: LESS - LEarning with Subset Stacking LESS is flexible, fast, and accurate. If you get a chance to try it, please let us know how it works for you.  Paper: <LINK> Code & Tutorials: <LINK> <LINK> The current version of LESS works for regression, and we will hopefully add classification by early 2022. @danial_esm We have tried the straightforward parallelisation and reported our results. The idea about using “local agents” sounds interesting. <LINK>",https://arxiv.org/abs/2112.06251,"We propose a new algorithm that learns from a set of input-output pairs. Our algorithm is designed for populations where the relation between the input variables and the output variable exhibits a heterogeneous behavior across the predictor space. The algorithm starts with generating subsets that are concentrated around random points in the input space. This is followed by training a local predictor for each subset. Those predictors are then combined in a novel way to yield an overall predictor. We call this algorithm ""LEarning with Subset Stacking"" or LESS, due to its resemblance to method of stacking regressors. We compare the testing performance of LESS with the state-of-the-art methods on several datasets. Our comparison shows that LESS is a competitive supervised learning method. Moreover, we observe that LESS is also efficient in terms of computation time and it allows a straightforward parallel implementation. ",Learning with Subset Stacking,3,"['We’ve just released our new meta-learning algorithm:\n\nLESS - LEarning with Subset Stacking\n\nLESS is flexible, fast, and accurate. If you get a chance to try it, please let us know how it works for you. \n\nPaper: <LINK>\nCode &amp; Tutorials: <LINK> <LINK>', 'The current version of LESS works for regression, and we will hopefully add classification by early 2022.', '@danial_esm We have tried the straightforward parallelisation and reported our results. The idea about using “local agents” sounds interesting. https://t.co/f4XrVydE7J']",21,12,503