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» Using Gaussian Processes to Optimize Expensive Functions
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PAMI
2008
162views more  PAMI 2008»
13 years 7 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 2 months ago
Visualizing the search process of particle swarm optimization
It is a hard problem to understand the search process of particle swarm optimization over high-dimensional domain. The visualization depicts the total search process and then it w...
Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon
ICS
1989
Tsinghua U.
13 years 11 months ago
Control flow optimization for supercomputer scalar processing
Control intensive scalar programs pose a very different challenge to highly pipelined supercomputers than vectorizable numeric applications. Function call/return and branch instru...
Pohua P. Chang, Wen-mei W. Hwu
ENTCS
2007
122views more  ENTCS 2007»
13 years 7 months ago
Plugging a Space Leak with an Arrow
The implementation of conceptually continuous signals in functional reactive programming (FRP) is studied in detail. We show that recursive signals in standard implementations usi...
Hai Liu, Paul Hudak
ECCV
2010
Springer
14 years 1 months ago
Optimizing Complex Loss Functions in Structured Prediction
Abstract. In this paper we develop an algorithm for structured prediction that optimizes against complex performance measures, those which are a function of false positive and fals...