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ICCS
2009
Springer
16 years 1 months ago
Experience with Approximations in the Trust-Region Parallel Direct Search Algorithm
Recent years have seen growth in the number of algorithms designed to solve challenging simulation-based nonlinear optimization problems. One such algorithm is the Trust-Region Par...
S. M. Shontz, V. E. Howle, P. D. Hough
CIBCB
2008
IEEE
16 years 1 months ago
Discovering novel cancer therapies: A computational modeling and search approach
— Solid tumors must recruit new blood vessels for growth and maintenance. Discovering drugs that block this tumor-induced development of new blood vessels (angiogenesis) is an im...
Arthur W. Mahoney, Brian G. Smith, Nicholas S. Fla...
ROBOCUP
2005
Springer
108views Robotics» more  ROBOCUP 2005»
16 years 17 hour ago
Successful Search and Rescue in Simulated Disaster Areas
RoboCupRescue Simulation is a large-scale multi-agent simulation of urban disasters where, in order to save lives and minimize damage, rescue teams must effectively cooperate despi...
Alexander Kleiner, Michael Brenner, Tobias Brä...
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
ICANN
2007
Springer
15 years 10 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...