A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
In the paper, we consider a preference heterogeneity problem in large-scale multicast applications. Abundant content, data type and diverse members' interests naturally lead ...
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...
Annotating genes and their products with Gene Ontology codes is an important area of research. One approach for doing this is to use the information available about these genes in...
Recognizing useful modular robot configurations composed of hundreds of modules is a significant challenge. Matching a new modular robot configuration to a library of known configu...
Michael Park, Sachin Chitta, Alex Teichman, Mark Y...