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UAI
1996
13 years 10 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ICASSP
2010
IEEE
13 years 9 months ago
Paraphrase detection on SMS messages in automobiles
Voice search technology has been successfully applied to help drivers reply SMS messages in automobiles, in which a predefined SMS message template set is searched with ASR hypoth...
Wei Wu, Yun-Cheng Ju, Xiao Li, Ye-Yi Wang
ML
2002
ACM
246views Machine Learning» more  ML 2002»
13 years 8 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
WEBI
2009
Springer
14 years 3 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
IEEESCC
2008
IEEE
14 years 3 months ago
A 3-level e-Business Registry Meta Model
Business partners willing to do business electronically with each other must reach an agreement (1) on the economic level, (2) on the inter-organizational process choreography, an...
Christian Huemer, Philipp Liegl, Rainer Schuster, ...