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» Learning Models for Predicting Recognition Performance
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 1 days 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
COLING
2010
14 years 4 months ago
Predicting Discourse Connectives for Implicit Discourse Relation Recognition
Existing works indicate that the absence of explicit discourse connectives makes it difficult to recognize implicit discourse relations. In this paper we attempt to overcome this ...
Zhi-Min Zhou, Yu Xu, Zheng-Yu Niu, Man Lan, Jian S...
AAAI
2012
13 years 12 hour ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
ICML
2005
IEEE
15 years 10 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 1 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...