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» Modeling Classification and Inference Learning
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PRL
2008
95views more  PRL 2008»
15 years 13 days ago
Semi-supervised learning by search of optimal target vector
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
103
Voted
COLING
2010
14 years 7 months ago
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
Hector Llorens, Estela Saquete, Borja Navarro-Colo...
113
Voted
TITS
2008
250views more  TITS 2008»
15 years 11 days ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
51
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EDBT
2009
ACM
92views Database» more  EDBT 2009»
15 years 5 months ago
Indexing density models for incremental learning and anytime classification on data streams
Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Kr...
AAAI
1992
15 years 1 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...