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CORR
2010
Springer
147views Education» more  CORR 2010»
14 years 11 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
AIEDU
2006
77views more  AIEDU 2006»
14 years 11 months ago
Constraint-based Modeling and Ambiguity
Constraint-based modeling has been used in many application areas of Intelligent Tutoring Systems as a powerful means to analyse erroneous student solutions and generate helpful fe...
Wolfgang Menzel
HEURISTICS
2008
92views more  HEURISTICS 2008»
14 years 11 months ago
Learning heuristics for basic block instruction scheduling
Instruction scheduling is an important step for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction scheduling is to ...
Abid M. Malik, Tyrel Russell, Michael Chase, Peter...
COGSCI
2006
86views more  COGSCI 2006»
14 years 11 months ago
Deferred Interpretations: Why Starting Dickens is Taxing but Reading Dickens Isn't
Comprehenders often need to go beyond conventional word senses to obtain an appropriate interpretation of an expression. We report an experiment examining the processing of standa...
Brian McElree, Steven Frisson, Martin J. Pickering
CVIU
2006
222views more  CVIU 2006»
14 years 11 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...