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» Engineering Systems Which Generate Emergent Functionalities
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MICAI
2004
Springer
15 years 9 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
126
Voted
DISCEX
2003
IEEE
15 years 9 months ago
Modeling Multistep Cyber Attacks for Scenario Recognition
Efforts toward automated detection and identification of multistep cyber attack scenarios would benefit significantly from a methodology and language for modeling such scenario...
Steven Cheung, Ulf Lindqvist, Martin W. Fong
SIGIR
1996
ACM
15 years 8 months ago
Performance Evaluation of a Distributed Architecture for Information Retrieval
Information explosion across the Internet and elsewhere offers access to an increasing number of document collections. In order for users to e ectively access these collections, i...
Brendon Cahoon, Kathryn S. McKinley
154
Voted
MP
2010
154views more  MP 2010»
15 years 2 months ago
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
Xinwei Liu, Yaxiang Yuan
NIPS
1996
15 years 5 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies