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» A Case Study for Learning from Imbalanced Data Sets
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SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 7 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
SOCRATES
2008
151views Education» more  SOCRATES 2008»
15 years 7 months ago
Learning Translation Strategies in a CSCL Framework
This study investigated the extent to which the social constructivist approach can be applied to the teaching/learning of translation strategies in an e-learning environment. To a...
Viviana Gaballo
ICANN
2009
Springer
15 years 3 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
146
Voted
NIPS
2007
15 years 7 months ago
Stability Bounds for Non-i.i.d. Processes
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
Mehryar Mohri, Afshin Rostamizadeh
DBSEC
2010
319views Database» more  DBSEC 2010»
15 years 7 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang