Abstract. Genetic Programming has been slow at realizing other programming paradigms than conventional, deterministic, sequential vonNeumann type algorithms. In this contribution w...
We formulate a fuzzy perceptive model for Markov decision processes with discounted payoff in which the perception for transition probabilities is described by fuzzy sets. Our aim...
: With the growing complexity of parallel architectures, the probability of system failures grows, too. One approach to cope with this problem is the self-healing, one of the organ...
We propose a succinct randomized language model which employs a perfect hash function to encode fingerprints of n-grams and their associated probabilities, backoff weights, or oth...
Language modeling is to associate a sequence of words with a priori probability, which is a key part of many natural language applications such as speech recognition and statistic...