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» Learning and using relational theories
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ECML
2006
Springer
14 years 1 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
ICIP
2005
IEEE
14 years 11 months ago
Static human body postures recognition in video sequences using the belief theory
This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
Alice Caplier, Laurent Bonnaud, Michèle Rom...
FASE
2010
Springer
14 years 4 months ago
Proving Consistency and Completeness of Model Classes Using Theory Interpretation
Abstract. Abstraction is essential in the formal specification of programs. A common way of writing abstract specifications is to specify implementations in terms of basic mathem...
Ádám Darvas, Peter Müller
ACL
2006
13 years 11 months ago
Machine Learning of Temporal Relations
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...
LREC
2008
128views Education» more  LREC 2008»
13 years 11 months ago
Relation between Agreement Measures on Human Labeling and Machine Learning Performance: Results from an Art History Domain
We discuss factors that affect human agreement on a semantic labeling task in the art history domain, based on the results of four experiments where we varied the number of labels...
Rebecca J. Passonneau, Thomas Lippincott, Tae Yano...