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» Prediction by Categorical Features: Generalization Propertie...
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RECSYS
2009
ACM
13 years 11 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
CVPR
2007
IEEE
14 years 7 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
COGSCI
2002
98views more  COGSCI 2002»
13 years 4 months ago
A simplicity principle in unsupervised human categorization
We address the problem of predicting how people will spontaneously divide into groups a set of novel items. This is a process akin to perceptual organization. We therefore employ ...
Emmanuel M. Pothos, Nick Chater
BMCBI
2007
119views more  BMCBI 2007»
13 years 4 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
CIKM
2010
Springer
13 years 3 months ago
Ranking under temporal constraints
This paper introduces the notion of temporally constrained ranked retrieval, which, given a query and a time constraint, produces the best possible ranked list within the specifi...
Lidan Wang, Donald Metzler, Jimmy Lin