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» Learning Algorithms for Domain Adaptation
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ICML
2009
IEEE
16 years 20 days ago
ABC-boost: adaptive base class boost for multi-class classification
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
Ping Li
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 8 days ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
15 years 6 months ago
Bipedal walking on rough terrain using manifold control
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
Tom Erez, William D. Smart
APWEB
2005
Springer
15 years 5 months ago
PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System
Complex structure and varying requirements increase the difficulties in developing domain specific Web Information Systems. People appeal to a smart tool to customize Web Informati...
Lv-an Tang, Hongyan Li, Zhiyong Pan, Shaohua Tan, ...
MICAI
2000
Springer
15 years 3 months ago
Memory Based Reasoning and Agents Adaptive Behavior
The main purpose of this work is to explore the application of Memory Based Reasoning (MBR) to adaptive behavior in agents. We discuss the design of an interface agent for e-mail m...
Ana S. Aguera, Alejandro Guerra, Manuel Mart&iacut...