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126
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TLT
2008
90views more  TLT 2008»
15 years 3 months ago
Group Scribbles to Support Knowledge Building in Jigsaw Method
The jigsaw method empowers students to build their own knowledge through successive engagement through interactions in original group discussions and in expert group discussions. H...
Chee-Kit Looi, Chiu-Pin Lin, Kuo-Ping Liu
119
Voted
TREC
2008
15 years 5 months ago
A Hybrid Method for Opinion finding Task (KUNLP at TREC 2008 Blog Track)
This paper presents an approach for the Opinion Finding task at TREC 2008 Blog Track. For the Ad-hoc Retrieval subtask, we adopt language model to retrieve relevant documents. For...
Linh Hoang, Seung-Wook Lee, Gum-Won Hong, Joo-Youn...
139
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WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 11 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
128
Voted
SIGKDD
2000
231views more  SIGKDD 2000»
15 years 3 months ago
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
Itzhak Levin
120
Voted
TKDE
2010
182views more  TKDE 2010»
15 years 1 months ago
MILD: Multiple-Instance Learning via Disambiguation
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
Wu-Jun Li, Dit-Yan Yeung