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SIGIR
2012
ACM
13 years 2 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
89
Voted
RV
2007
Springer
130views Hardware» more  RV 2007»
15 years 5 months ago
Statistical Runtime Checking of Probabilistic Properties
Probabilistic correctness is another important aspect of reliable systems. A soft real-time system, for instance, exhibits probabilistic behaviors from tolerating some degrees of ...
Usa Sammapun, Insup Lee, Oleg Sokolsky, John Regeh...
102
Voted
IJON
2010
119views more  IJON 2010»
14 years 10 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer
106
Voted
TKDE
2010
224views more  TKDE 2010»
14 years 10 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
EMNLP
2009
14 years 9 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii