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» Statistical Models of Conditioning
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129
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ICML
2009
IEEE
16 years 3 months ago
Hilbert space embeddings of conditional distributions with applications to dynamical systems
In this paper, we extend the Hilbert space embedding approach to handle conditional distributions. We derive a kernel estimate for the conditional embedding, and show its connecti...
Le Song, Jonathan Huang, Alexander J. Smola, Kenji...
VLSID
2007
IEEE
97views VLSI» more  VLSID 2007»
16 years 3 months ago
Efficient Microprocessor Verification using Antecedent Conditioned Slicing
We present a technique for automatic verification of pipelined microprocessors using model checking. Antecedent conditioned slicing is an efficient abstraction technique for hardw...
Shobha Vasudevan, Vinod Viswanath, Jacob A. Abraha...
125
Voted
ACL
2006
15 years 4 months ago
Discriminative Word Alignment with Conditional Random Fields
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...
Phil Blunsom, Trevor Cohn
177
Voted
ICDAR
2009
IEEE
15 years 15 days ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...
137
Voted
AAAI
2006
15 years 4 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...