In the world of interactive art, very few pieces have a permanent, physical outcome. In response to this observation, the author developed two “cobots”, or collaborative robot...
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
This paper presents a novel approach for the management of large collections of electronic documents. The major technical contribution of our approach is the seamless integration ...
Johann Eder, Alexander Krumpholz, Alexandros Bilir...