The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Abstract. In this paper we introduce three soft-decision decoding algorithms for Reed-Solomon (RS) codes. We compare them in terms of performance over both the AWGN and Rayleigh Fa...
Stephan Wesemeyer, Peter Sweeney, David R. B. Burg...
It is known that bounds on the minimax values of nodes in a game tree can be used to reduce the computational complexity of minimax search for two-player games. We describe a very...