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ICML
2008
IEEE
16 years 17 days ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
JACIII
2007
99views more  JACIII 2007»
14 years 11 months ago
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
We study the problem of approximating pseudoBoolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
Guoli Ding, Robert F. Lax, Peter P. Chen, Jianhua ...
ECSQARU
2007
Springer
15 years 6 months ago
Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory
The binary representation is widely used for representing focal sets of Dempster-Shafer belief functions because it allows to compute efficiently all relevant operations. However, ...
Norbert Lehmann
EOR
2006
90views more  EOR 2006»
14 years 11 months ago
A parallelizable dynamic fleet management model with random travel times
In this paper, we present a stochastic model for the dynamic fleet management problem with random travel times. Our approach decomposes the problem into time-staged subproblems by...
Huseyin Topaloglu
SIGIR
2010
ACM
15 years 3 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...