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ESANN
2007
14 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
IMECS
2007
14 years 11 months ago
Knowledge Acquisition from Computer Log Files by ADG with Variable Agent Size
Abstract—We had previously proposed an outstanding evolutionary method, Automatically Defined Groups (ADG), for generating heterogeneous cooperative agents, and then we had deve...
Akira Hara, Yoshiaki Kurosawa, Takumi Ichimura
SODA
2008
ACM
104views Algorithms» more  SODA 2008»
14 years 11 months ago
Fast and reliable reconstruction of phylogenetic trees with very short edges
Abstract Ilan Gronau Shlomo Moran Sagi Snir Phylogenetic reconstruction is the problem of reconstructing an evolutionary tree from sequences corresponding to leaves of that tree. ...
Ilan Gronau, Shlomo Moran, Sagi Snir
OPODIS
2007
14 years 11 months ago
The Cost of Monotonicity in Distributed Graph Searching
Abstract. Blin et al. (2006) proposed a distributed protocol that enables the smallest number of searchers to clear any unknown asynchronous graph in a decentralized manner. Unknow...
David Ilcinkas, Nicolas Nisse, David Soguet
RSS
2007
147views Robotics» more  RSS 2007»
14 years 11 months ago
Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning
Abstract— This paper presents the Discrete Search Leading continuous eXploration (DSLX) planner, a multi-resolution approach to motion planning that is suitable for challenging p...
Erion Plaku, Lydia E. Kavraki, Moshe Y. Vardi