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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 5 days ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
ICIP
2008
IEEE
16 years 1 months ago
Consistent and regularized magnification of images
Because more output data must be created than is available from the input, magnification is an ill-posed problem. Traditional magnification relies on resampling an interpolation mo...
Aurélien Bourquard, Katarina Balac, Michael...
TSMC
2008
109views more  TSMC 2008»
14 years 11 months ago
Analysis of CCME: Coevolutionary Dynamics, Automatic Problem Decomposition, and Regularization
In most real-world problems, we either know little about the problems or the problems are too complex to have a clear vision on how to decompose them by hand. Thus, it is usually d...
Minh Ha Nguyen, Hussein A. Abbass, Robert I. McKay
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 5 days ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
ECIR
2010
Springer
14 years 9 months ago
Query Aspect Based Term Weighting Regularization in Information Retrieval
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
Wei Zheng, Hui Fang