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COLT
2010
Springer
13 years 5 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 8 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
LREC
2010
176views Education» more  LREC 2010»
13 years 8 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
EWCBR
2004
Springer
14 years 23 days ago
Development of CBR-BDI Agents: A Tourist Guide Application
In this paper we present an agent-based application of a wireless tourist guide that combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base Reason...
Juan M. Corchado, Juan Pavón, Emilio Corcha...
ILP
1999
Springer
13 years 11 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan