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» Evaluating Adaptive Problem Selection
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156
Voted
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 4 months ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
135
Voted
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 4 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. ...
148
Voted
CIKM
2006
Springer
15 years 7 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
111
Voted
ICML
2007
IEEE
16 years 4 months ago
On the role of tracking in stationary environments
It is often thought that learning algorithms that track the best solution, as opposed to converging to it, are important only on nonstationary problems. We present three results s...
Richard S. Sutton, Anna Koop, David Silver
135
Voted
ICWE
2004
Springer
15 years 9 months ago
Authoring and Dynamic Generation of Adaptive E-courses
Abstract. Adaptive hypermedia constitutes a pretty rich resource for developing web-based courses. With the aim of dynamically generating adaptive ecourses, we have developed the T...
Rosa M. Carro, Manuel Freire, Estefanía Mar...