PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easyto-use yet still powerful algorithms for machine learning tasks, including a vari...
Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, M...
In recent years, highly effective hierarchical and goal-directed speedup techniques for routing in large road networks have been developed. This paper makes a systematic study of ...
Reinhard Bauer, Daniel Delling, Peter Sanders, Den...
This paper addresses the problem of implementing an context model. First, the abstract context model is represented by a network of situations. Two different implementations for t...
When different wireless networks come in close proximity there is often a need for them to logically combine, or compose. We focus on a known research problem particularly in Ambie...
Lawrence Cheng, Roel Ocampo, Kerry Jean, Alex Gali...
To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...