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AAAI
2007
15 years 7 months ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman
NIPS
2004
15 years 6 months ago
Semi-supervised Learning on Directed Graphs
Given a directed graph in which some of the nodes are labeled, we investigate the question of how to exploit the link structure of the graph to infer the labels of the remaining u...
Dengyong Zhou, Bernhard Schölkopf, Thomas Hof...
DOCENG
2003
ACM
15 years 10 months ago
Handling syntactic constraints in a DTD-compliant XML editor
By exploiting the theories of automata and graphs, we propose algorithms and a process for editing valid XML documents [4][5]. The editing process avoids syntactic violations alto...
Y. S. Kuo, Jaspher Wang, N. C. Shih
141
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KAIS
2000
106views more  KAIS 2000»
15 years 4 months ago
FANNC: A Fast Adaptive Neural Network Classifier
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...
Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
ECCC
2006
97views more  ECCC 2006»
15 years 4 months ago
Cryptographic Hardness Results for Learning Intersections of Halfspaces
We give the first representation-independent hardness results for PAC learning intersections of halfspaces, a central concept class in computational learning theory. Our hardness ...
Adam R. Klivans, Alexander A. Sherstov