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173
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ACMICEC
2007
ACM
117views ECommerce» more  ACMICEC 2007»
15 years 4 months ago
Selectively acquiring ratings for product recommendation
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...
Zan Huang
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 1 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
15 years 6 days ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk
83
Voted
CHI
2005
ACM
16 years 1 months ago
TRIBA: a cable television retrieval & awareness system
This paper discusses the design of a physical and digital system intended to allow for easy manipulation and interaction with the tremendous amount of options present in advanced ...
Michael Tseng, Jon Kolko
87
Voted
SOFSEM
2000
Springer
15 years 4 months ago
Towards High Speed Grammar Induction on Large Text Corpora
Abstract. In this paper we describe an e cient and scalable implementation for grammar induction based on the EMILE approach ( 2], 3], 4], 5], 6]). The current EMILE 4.1 implementa...
Pieter W. Adriaans, Marten Trautwein, Marco Vervoo...