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AAAI
2000
15 years 8 months ago
Depth-First Branch-and-Bound versus Local Search: A Case Study
Depth-first branch-and-bound (DFBnB) is a complete algorithm that is typically used to find optimal solutions of difficult combinatorial optimization problems. It can also be adap...
Weixiong Zhang
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 8 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
SIAMSC
2011
177views more  SIAMSC 2011»
15 years 1 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad
179
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GLOBECOM
2006
IEEE
16 years 27 days ago
Leveraging Downlink for Regulation of Distributed Uplink CDMA
Abstract— In this paper, we formulate an optimal rate allocation scheme for uplink and downlink in a single-cell CDMA system. Using concepts from game theory, we show that it is ...
Jennifer Price, Tara Javidi
ICML
2003
IEEE
16 years 7 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth