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» Discovering Characterization Rules from Rankings
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 8 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
ICMCS
2009
IEEE
275views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Video semantic concept detection via associative classification
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen
JAIR
2008
104views more  JAIR 2008»
13 years 5 months ago
On the Qualitative Comparison of Decisions Having Positive and Negative Features
Making a decision is often a matter of listing and comparing positive and negative arguments. In such cases, the evaluation scale for decisions should be considered bipolar, that ...
Didier Dubois, Hélène Fargier, Jean-...
WINE
2009
Springer
199views Economy» more  WINE 2009»
14 years 10 days ago
Externalities in Keyword Auctions: An Empirical and Theoretical Assessment
It is widely believed that the value of acquiring a slot in a sponsored search list (that comes along with the organic links in a search engine’s result page) highly depends on ...
Renato Gomes, Nicole Immorlica, Evangelos Markakis
IDA
2007
Springer
13 years 5 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka