Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
In this paper, we investigate the load balancing problem among a cluster of mobile and fixed devices in a voice enabled interface. We consider a design approach. The voice interfa...
Mustapha Hadim, Pierre Manneback, Michel Bagein, P...
Advanced personalization of database applications is a big challenge, in particular for distributed mobile environments. We present several new results from a prototype of a route...
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...