NIPS
2007
13 years 6 months ago
2007
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 ...
EACL
2010
ACL Anthology
13 years 6 months ago
2010
ACL Anthology
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....
FLAIRS
2007
13 years 7 months ago
2007
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...
EDBTW
2006
Springer
13 years 8 months ago
2006
Springer
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...
AI
2006
Springer
13 years 8 months ago
2006
Springer
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...
ECML
2007
Springer
13 years 9 months ago
2007
Springer
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...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
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...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
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...
PASTE
2010
ACM
13 years 10 months ago
2010
ACM
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
SIGIR
2004
ACM
13 years 10 months ago
2004
ACM
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...