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» A probabilistic framework for relational clustering
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UAI
1997
15 years 3 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
TAL
2004
Springer
15 years 7 months ago
Expressive Power and Consistency Properties of State-of-the-Art Natural Language Parsers
Abstract. We define Probabilistic Constrained W-grammars (PCWgrammars), a two-level formalism capable of capturing grammatical frameworks used in two state of the art parsers, nam...
Gabriel G. Infante López, Maarten de Rijke
CORR
2010
Springer
160views Education» more  CORR 2010»
15 years 2 months ago
Scalable Probabilistic Databases with Factor Graphs and MCMC
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
Michael L. Wick, Andrew McCallum, Gerome Miklau
ITNG
2010
IEEE
15 years 7 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
WISE
2005
Springer
15 years 7 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou