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ATAL
2010
Springer
13 years 9 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 8 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 8 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
CDVE
2004
Springer
113views Visualization» more  CDVE 2004»
14 years 1 months ago
Fostering Creativity in Cooperative Design
Creativity has become a valuable asset, given the fast paced changes most companies must nowadays deal with. Companies now look for creative, highly adaptive individuals who can ex...
Adriana Santarosa Vivacqua, Jano Moreira de Souza
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 8 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims