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» A Neural Probabilistic Language Model
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POPL
2002
ACM
15 years 10 months ago
Stochastic lambda calculus and monads of probability distributions
Probability distributions are useful for expressing the meanings of probabilistic languages, which support formal modeling of and reasoning about uncertainty. Probability distribu...
Norman Ramsey, Avi Pfeffer
ISNN
2009
Springer
15 years 4 months ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
ICTAI
2010
IEEE
14 years 7 months ago
A Semantic Similarity Language Model to Improve Automatic Image Annotation
In recent years, with the rapid proliferation of digital images, the need to search and retrieve the images accurately, efficiently, and conveniently is becoming more acute. Automa...
Tianxia Gong, Shimiao Li, Chew Lim Tan
ICLP
2004
Springer
15 years 3 months ago
Possible Worlds Semantics for Probabilistic Logic Programs
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...
Alex Dekhtyar, Michael I. Dekhtyar
CIVR
2008
Springer
213views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Language modeling for bag-of-visual words image categorization
In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...
Pierre Tirilly, Vincent Claveau, Patrick Gros