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» Approximate Learning of Dynamic Models
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NAACL
2007
15 years 7 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum
140
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WSC
1998
15 years 7 months ago
Simulation Based Construction Management Learning System
Incorporation into construction engineering and management curricula of tasks that improve the abilities of students to manage the complex dynamics, pressures, and demands of cons...
Anil Sawhney, André Mund
FLAIRS
2006
15 years 7 months ago
Constrained Lexical Attraction Models
Lexical Attraction Models (LAMs) were first introduced by Deniz Yuret in (Yuret 1998) to exemplify how an algorithm can learn word dependencies from raw text. His general thesis i...
Radu Ion, Verginica Barbu Mititelu
ICASSP
2010
IEEE
15 years 6 months ago
A union of incoherent spaces model for classification
We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data...
Karin Schnass, Pierre Vandergheynst
CGF
2005
252views more  CGF 2005»
15 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...