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IDA
2002
Springer
13 years 10 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»
14 years 10 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
13 years 11 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
ICML
2003
IEEE
14 years 11 months ago
Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Convex programming involves a convex set F Rn and a convex cost function c : F R. The goal of convex programming is to find a point in F which minimizes c. In online convex prog...
Martin Zinkevich
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 4 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura