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AAAI
1997
15 years 6 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
134
Voted
PKDD
2009
Springer
110views Data Mining» more  PKDD 2009»
15 years 11 months ago
Using Temporal Language Models for Document Dating
Abstract. In order to increase precision in searching for web pages or web documents, taking the temporal dimension into account is gaining increased interest. A particular problem...
Nattiya Kanhabua, Kjetil Nørvåg
ICASSP
2008
IEEE
15 years 11 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
154
Voted
ECML
2003
Springer
15 years 10 months ago
A Hybrid Language Model based on Stochastic Context-free Grammars
Abstract. This paper explores the use of initial Stochastic Context-Free Grammars (SCFG) obtained from a treebank corpus for the learning of SCFG by means of estimation algorithms....
Diego Linares, José-Miguel Benedí, J...
SG
2010
Springer
15 years 10 months ago
Articulate: A Semi-automated Model for Translating Natural Language Queries into Meaningful Visualizations
While many visualization tools exist that offer sophisticated functions for charting complex data, they still expect users to possess a high degree of expertise in wielding the to...
Yiwen Sun, Jason Leigh, Andrew E. Johnson, Sangyoo...