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» Learning Algorithms for Domain Adaptation
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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 9 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. ...
ICMLA
2008
13 years 10 months ago
Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
We are interested in learning an adaptive local metric on a lower dimensional manifold for query
Karim T. Abou-Moustafa, Frank P. Ferrie
IJCAI
1997
13 years 10 months ago
Exploration and Adaptation in Multiagent Systems: A Model-based Approach
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
David Carmel, Shaul Markovitch
ECTEL
2008
Springer
13 years 10 months ago
Bridging the Gap between Practitioners and E-Learning Standards: A Domain-Specific Modeling Approach
Developing a learning design using IMS Learning Design (LD) is difficult for average practitioners because a high overhead of pedagogical knowledge and technical knowledge is requi...
Yongwu Miao, Tim Sodhi, Francis Brouns, Peter B. S...
CVPR
2007
IEEE
14 years 10 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu