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IJCNN
2006
IEEE
15 years 8 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
ATAL
2010
Springer
15 years 3 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
COLING
2010
14 years 9 months ago
A Learnable Constraint-based Grammar Formalism
Lexicalized Well-Founded Grammar (LWFG) is a recently developed syntacticsemantic grammar formalism for deep language understanding, which balances expressiveness with provable le...
Smaranda Muresan
IJVR
2008
134views more  IJVR 2008»
15 years 2 months ago
An Educational Virtual Scenario for Learning Chaos and Complexity Theories
Based on contemporary Chaos and Complexity Theories, ImaginationTOOLSTM is an innovative Virtual Reality (VR) software architecture which, by means of an agent-based interface, end...
Francesca Bertacchini, Eleonora Bilotta, Pietro Pa...
ITNG
2010
IEEE
15 years 7 months ago
BAUT: A Bayesian Driven Tutoring System
—This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) in...
Song Tan, Kai Qian, Xiang Fu, Prabir Bhattacharya