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INFORMATICALT
2007
111views more  INFORMATICALT 2007»
15 years 3 months ago
Oblique Support Vector Machines
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
Chih-Chia Yao, Pao-Ta Yu
143
Voted
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
15 years 3 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
116
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TSMC
2008
99views more  TSMC 2008»
15 years 3 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
123
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TSP
2008
109views more  TSP 2008»
15 years 3 months ago
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints
This paper deals with the design of coded waveforms which optimize radar performances in the presence of colored Gaussian disturbance. We focus on the class of linearly coded puls...
Antonio De Maio, Silvio De Nicola, Yongwei Huang, ...
135
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CORR
2004
Springer
140views Education» more  CORR 2004»
15 years 3 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...