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TROB
2002
134views more  TROB 2002»
14 years 9 months ago
Experimental comparison of some classical iterative learning control algorithms
Mikael Norrlöf, Svante Gunnarsson
89
Voted
ICML
2007
IEEE
15 years 10 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor
INFORMATICALT
2007
111views more  INFORMATICALT 2007»
14 years 9 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
146
Voted
ECCV
2002
Springer
15 years 10 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
15 years 4 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...