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AAAI
2004
15 years 8 months ago
Online Parallel Boosting
This paper presents a new boosting (arcing) algorithm called POCA, Parallel Online Continuous Arcing. Unlike traditional boosting algorithms (such as Arc-x4 and Adaboost), that co...
Jesse A. Reichler, Harlan D. Harris, Michael A. Sa...
IDA
2002
Springer
15 years 6 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
ODR
2008
15 years 8 months ago
Online Integrative Negotiation Tools for the Dutch Council for Legal Aid
This paper describes the background, theoretic model, implementation and use of the Rechtwijzer. The Rechtwijzer ("conflict resolution guide") is the online application o...
Jelle van Veenen
COLT
2006
Springer
15 years 10 months ago
Memory-Limited U-Shaped Learning
U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psych...
Lorenzo Carlucci, John Case, Sanjay Jain, Frank St...