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IJCNN
2008
IEEE
15 years 9 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
ICCAD
2006
IEEE
99views Hardware» more  ICCAD 2006»
15 years 11 months ago
Variability and yield improvement: rules, models, and characterization
Yield and variability are becoming detractors for successful design in sub-90-nm process technologies. We consider the fundamental lithography and process issues that are driving ...
Kenneth L. Shepard, Daniel N. Maynard
104
Voted
ECWEB
2004
Springer
126views ECommerce» more  ECWEB 2004»
15 years 7 months ago
A Model for Multi-party Negotiations with Majority Rule
Our model of multi-party negotiations is a many parties, many issues model. The whole multi-party negotiation consists of a set of mutually influencing bilateral negotiations that...
Sheng Zhang, Fillia Makedon, James Ford, Lin Ai
COLING
2002
15 years 2 months ago
An English-Korean Transliteration Model Using Pronunciation and Contextual Rules
There is increasing concern about English-Korean (E-K) transliteration recently. In the previous works, direct converting methods from English alphabets to Korean alphabets were a...
Jong-Hoon Oh, Key-Sun Choi
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
15 years 8 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu