We give the first polynomial time algorithm to learn any function of a constant number of halfspaces under the uniform distribution on the Boolean hypercube to within any constan...
In this paper we present a new peer-to-peer (P2P) middleware called CHEap Distributed ARchitecture (Chedar). Chedar is totally decentralized and can be used as a basis for P2P app...
Annemari Auvinen, Mikko Vapa, Matthieu Weber, Niko...
We present two extensions of the algorithm by Broomhead et al [2] which is based on the idea that singular values that scale linearly with the radius of the data ball can be explo...
Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...