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NIPS
2007
14 years 28 days ago
A Probabilistic Approach to Language Change
We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic ...
Alexandre Bouchard-Côté, Percy Liang,...
EACL
2010
ACL Anthology
14 years 29 days ago
Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation
Abstract. Since the early days of generation research, it has been acknowledged that modeling the global structure of a document is crucial for producing coherent, readable output....
Regina Barzilay
FLAIRS
2007
14 years 1 months ago
A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models
Discovery of graphical models is NP-hard in general, which justifies using heuristics. We consider four commonly used heuristics. We summarize the underlying assumptions and anal...
Yang Xiang
EDBTW
2006
Springer
14 years 3 months ago
Models for Incomplete and Probabilistic Information
Abstract. We discuss, compare and relate some old and some new models for incomplete and probabilistic databases. We characterize the expressive power of c-tables over infinite dom...
Todd J. Green, Val Tannen
AI
2006
Springer
14 years 3 months ago
Probabilistic Melodic Harmonization
We propose a representation for musical chords that allows us to include domain knowledge in probabilistic models. We then introduce a graphical model for harmonization of melodies...
Jean-François Paiement, Douglas Eck, Samy B...
ECML
2007
Springer
14 years 3 months ago
Modeling Highway Traffic Volumes
Most traffic management and optimization tasks, such as accident detection or optimal vehicle routing, require an ability to adequately model, reason about and predict irregular an...
Tomás Singliar, Milos Hauskrecht
IJCNN
2000
IEEE
14 years 3 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
14 years 4 months ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
PASTE
2010
ACM
14 years 4 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
SIGIR
2004
ACM
14 years 4 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny