Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation
IEEE Transactions on Computers
Curse of Dimensionality in Pivot Based Indexes
SISAP '09 Proceedings of the 2009 Second International Workshop on Similarity Search and Applications
Generalization performance of ERM algorithm with geometrically ergodic Markov chain samples
ICNC'09 Proceedings of the 5th international conference on Natural computation
Simulation-based optimization of Markov decision processes: An empirical process theory approach
Automatica (Journal of IFAC)
Survey paper: Research on probabilistic methods for control system design
Automatica (Journal of IFAC)
Proceedings of the Fourth International Conference on SImilarity Search and APplications
Support vector machines with beta-mixing input sequences
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains
Advances in Computational Mathematics
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How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.