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CORR
2010
Springer
125views Education» more  CORR 2010»
15 years 3 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray
COCOON
2006
Springer
15 years 6 months ago
Fixed Linear Crossing Minimization by Reduction to the Maximum Cut Problem
Many real-life scheduling, routing and location problems can be formulated as combinatorial optimization problems whose goal is to find a linear layout of an input graph in such a ...
Christoph Buchheim, Lanbo Zheng
ICML
2007
IEEE
16 years 3 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
PLDI
2006
ACM
15 years 9 months ago
A global progressive register allocator
This paper describes a global progressive register allocator, a register allocator that uses an expressive model of the register allocation problem to quickly find a good allocat...
David Ryan Koes, Seth Copen Goldstein
COLT
2000
Springer
15 years 7 months ago
On the Learnability and Design of Output Codes for Multiclass Problems
Output coding is a general framework for solving multiclass categorization problems. Previous research on output codes has focused on building multiclass machines given predefine...
Koby Crammer, Yoram Singer