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AAAI
1998
15 years 7 months ago
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way
Weadvance a knowledge-based learning method that augments conventional generalization to permit concept acquisition in failure domains. These are domains in whichlearning must pro...
Mark Brodie, Gerald DeJong
SIGKDD
2000
112views more  SIGKDD 2000»
15 years 6 months ago
Artificial Neural Networks - A Science in Trouble
This article points out some very serious misconceptions about the brain in connectionism and artificial neural networks. Some of the connectionist ideas have been shown to have l...
Asim Roy
CIDR
2009
119views Algorithms» more  CIDR 2009»
15 years 7 months ago
DBMSs Should Talk Back Too
Natural language user interfaces to database systems have been studied for several decades now. They have mainly focused on parsing and interpreting natural language queries to ge...
Alkis Simitsis, Yannis E. Ioannidis
ICML
2004
IEEE
16 years 7 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
ALT
2007
Springer
16 years 3 months ago
Prescribed Learning of R.E. Classes
Abstract. This work extends studies of Angluin, Lange and Zeugmann on the dependence of learning on the hypotheses space chosen for the class. In subsequent investigations, uniform...
Sanjay Jain, Frank Stephan, Nan Ye