A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
The problem of modeling a variety of domains within the framework of one general scheme is of central importance in AI. This paper presents the MultiEntity model for multi-agent p...
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
This paper describes a decision procedure for bisimulation-based equivalence relations between labeled transition systems. The algorithm usually performed in order to verify bisim...
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...