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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 5 months 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
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 5 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 5 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
KDD
2001
ACM
149views Data Mining» more  KDD 2001»
16 years 5 months ago
Maximum entropy methods for biological sequence modeling
Many of the same modeling methods used in natural languages, speci cally Markov models and HMM's, have also been applied to biological sequence analysis. In recent years, nat...
Eugen C. Buehler, Lyle H. Ungar
CHI
2007
ACM
16 years 5 months ago
Keystroke-level model for advanced mobile phone interaction
The design of applications using mobile devices needs a different quality assessment than those known for desktop applications. Of the many aspects that have to be taken into acco...
Paul Holleis, Friederike Otto, Heinrich Hussmann, ...