Many recent successful planners use domain-independent heuristics to speed up the search for a valid plan. An orthogonal approach to accelerating search is to identify and remove r...
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
The construction of good, finite-length, LDPC codes is currently an attractive research area. Reducing attention to the Binary Erasure Channel (BEC), this problem translates into t...
Dejan Vukobratovic, Aleksandar Djurendic, Vojin Se...
This paper aims to investigate methodologies to utilize an agent’s intentions as a means to guide the revision of its beliefs. For this purpose, we develop a collection of belie...