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» Learning and Inference with Constraints
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CVPR
2009
IEEE
15 years 2 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
AAAI
2007
13 years 10 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati
SAS
2007
Springer
14 years 1 months ago
Refactoring Using Type Constraints
Type constraints express subtype-relationships between the types of program expressions that are required for type-correctness, and were originally proposed as a convenient framewo...
Frank Tip
CONSTRAINTS
2008
78views more  CONSTRAINTS 2008»
13 years 7 months ago
Boosting Haplotype Inference with Local Search
Abstract. A very challenging problem in the genetics domain is to infer haplotypes from genotypes. This process is expected to identify genes affecting health, disease and response...
Inês Lynce, João Marques-Silva, Steve...
PODS
1999
ACM
95views Database» more  PODS 1999»
13 years 12 months ago
Minimal Data Upgrading to Prevent Inference and Association
Despite advances in recent years in the area of mandatory access control in database systems, today's information repositories remain vulnerable to inference and data associa...
Steven Dawson, Sabrina De Capitani di Vimercati, P...