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» Semi-Supervised Support Vector Machines
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146
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NIPS
2007
15 years 4 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...
108
Voted
NIPS
2007
15 years 4 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
127
Voted
DMIN
2006
115views Data Mining» more  DMIN 2006»
15 years 4 months ago
Development of a Multi-Classifier Approach for Multilingual Text Categorization
- Research work related to applying text categorization methods to a monolingual corpus such as English text collections has been well established by several research teams in rece...
Chung-Hong Lee, Hsin-Chang Yang, Ting-Chung Chen, ...
131
Voted
DMIN
2006
122views Data Mining» more  DMIN 2006»
15 years 4 months ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic
126
Voted
ACL
2003
15 years 4 months ago
Fast Methods for Kernel-Based Text Analysis
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Taku Kudo, Yuji Matsumoto