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CIBCB
2009
IEEE
13 years 10 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
ICRA
2002
IEEE
141views Robotics» more  ICRA 2002»
14 years 2 months ago
Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots
This article presents a new approach to movement planning, on-line trajectory modiļ¬cation, and imitation learning by representing movement plans based on a set of nonlinear diļ¬...
Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 9 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 9 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 months ago
A framework for learning coordinated behavior
We sketch a framework for learning structured coordinated behavior, specifically the tactical behavior of Experimental Unmanned Vehicles (XUVs). We conceptualize an XUV unit as a ...
Albert C. Esterline, Chafic BouSaba, Abdollah Homa...