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» The Statistical Learning of Accurate Heuristics
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ATAL
2006
Springer
15 years 5 months ago
Adaptive Pricing for Customers with Probabilistic Valuations
Abstract. In this paper, we examine the problem of choosing discriminatory prices for customers with probabilistic valuations and a seller with indistinguishable copies of a good. ...
Michael Benisch, James Andrews, Norman M. Sadeh
95
Voted
DAGSTUHL
2001
15 years 3 months ago
Understanding Algorithms by Means of Visualized Path Testing
Visualization of an algorithm offers only a rough picture of operations. Explanations are crucial for deeper understanding, because they help the viewer to associate the visualiza...
Ari Korhonen, Erkki Sutinen, Jorma Tarhio
176
Voted
CVPR
2012
IEEE
13 years 4 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
CIBCB
2006
IEEE
15 years 7 months ago
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Ji He, Xinbin Dai, Xuechun Zhao
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 5 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...