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EMNLP
2010
13 years 7 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 3 months ago
SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
— A paramount challenge in probabilistic databases is the scalable computation of confidences of tuples in query results. This paper introduces an efficient secondary-storage o...
Dan Olteanu, Jiewen Huang, Christoph Koch
ICML
2007
IEEE
14 years 10 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
JMLR
2006
143views more  JMLR 2006»
13 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
SEMWEB
2009
Springer
14 years 3 months ago
An Ontology-based Data Matching Framework: use Case Competency-based HRM
As part of the European PROLIX (Process Oriented Learning and Information eXchange) project, VUB STARLab designed a generic ontologybased data matching framework (ODMF). Within the...
Peter De Baer, Yan Tang, Pieter De Leenheer