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» Engineering Systems Which Generate Emergent Functionalities
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MICAI
2004
Springer
15 years 11 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
DISCEX
2003
IEEE
15 years 11 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 10 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
MP
2010
154views more  MP 2010»
15 years 4 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 7 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