In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Abstract. We present CoLe, a model for cooperative agents for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different mining agents and the combinat...
al Partitioning by Predicate Abstraction and its Application to Data Warehouse Design Aleksandar Dimovski1 , Goran Velinov2 , and Dragan Sahpaski2 1 Faculty of Information-Communic...
Aleksandar Dimovski, Goran Velinov, Dragan Sahpask...
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...