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144
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ICML
2001
IEEE
16 years 3 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
126
Voted
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 6 months ago
Mining asynchronous periodic patterns in time series data
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
Jiong Yang, Wei Wang 0010, Philip S. Yu
CVPR
2005
IEEE
16 years 4 months ago
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion
Scale-spaces induced by diffusion processes play an important role in many computer vision tasks. Automatically selecting the most appropriate scale for a particular problem is a ...
George Papandreou, Petros Maragos
151
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ACMICEC
2006
ACM
142views ECommerce» more  ACMICEC 2006»
15 years 8 months ago
Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings
In electronic marketplaces populated by self-interested agents, buyer agents would benefit by modeling the reputation of seller agents, in order to make effective decisions abou...
Jie Zhang, Robin Cohen
114
Voted
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 7 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...