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APIN
1999
110views more  APIN 1999»
15 years 1 months ago
The Connectionist Inductive Learning and Logic Programming System
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
Artur S. d'Avila Garcez, Gerson Zaverucha
ICMLA
2009
14 years 11 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
ACL
2009
14 years 11 months ago
Learning to Tell Tales: A Data-driven Approach to Story Generation
Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story gen...
Neil McIntyre, Mirella Lapata
CACM
2008
101views more  CACM 2008»
15 years 1 months ago
Just say 'A Class Defines a Data Type'
data type and (Java) class, asking about the relationship between them. The same students would also be unlikely to find an answer in a CS1 textbook. Some textbooks might not even ...
Chenglie Hu
AIED
2007
Springer
15 years 7 months ago
VL-PATSy: Facilitating vicarious learning via intelligent resource provision
This paper describes an adaptive system called VL-PATSy, an extension to an existing system (PATSy) that adds a mechanism for serving vicarious learning (VL) resources. Vicarious l...
Richard Cox, Jianxiong Pang