The paper describes a simulation substrate that allows thinking agents to interact with a world. The world is simulated by standard discrete event simulation, but the timing of an...
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. (A "melody" is def...
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
This paper studies the dynamic Web service selection problem in a failure-prone environment, which aims to determine a subset of Web services to be invoked at runtime so as to succ...