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107
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ICML
2010
IEEE
15 years 1 months ago
Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
Antoine Bordes, Nicolas Usunier, Jason Weston
116
Voted
MVA
2002
195views Computer Vision» more  MVA 2002»
15 years 14 days ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
AIED
2007
Springer
15 years 7 months ago
Getting Under the Skin of Learners: Tools for Evaluating Emotional Experience
: This paper reports a study that evaluated a methodology and tool for eliciting the emotional experience of language learning. It has looked at the relative rate of change of diff...
Madeline Alsmeyer, Rosemary Luckin, Judith Good
ECML
2000
Springer
15 years 5 months ago
Metric-Based Inductive Learning Using Semantic Height Functions
In the present paper we propose a consistent way to integrate syntactical least general generalizations (lgg's) with semantic evaluation of the hypotheses. For this purpose we...
Zdravko Markov, Ivo Marinchev
113
Voted
DSS
2007
127views more  DSS 2007»
15 years 23 days ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...