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ICCV
2007
IEEE
14 years 11 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ILP
2007
Springer
14 years 3 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 9 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...
CONCUR
2000
Springer
14 years 23 days ago
Reachability Analysis for Some Models of Infinite-State Transition Systems
We introduce some new models of infinite-state transition systems. The basic model, called a (reversal-bounded) counter machine (CM), is a nondeterministic finite automaton augment...
Oscar H. Ibarra, Tevfik Bultan, Jianwen Su
CIKM
2008
Springer
13 years 11 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti