Add to ORKGThesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.Includes bibliographical references (p. 99-106).by Theodoros K. Evgeniou.Ph.D
A kernel has been developed to enable the construction of distributed and parallel software for sequ...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In the 1990s, a new type of learning algorithm was developed, based on results from statistical lear...
In this article, we will describe how the kernel approach can be easily implemented for simple and t...
In the 90s, a new type of learning algorithm was developed, based on results from statistical learni...
Lecture notes for a course to be taught at the Interdisciplinary College 2000, Gunne, Germany, March...
SVMÉcole thématiqueKernel Machines is a term covering a large class of learning algorithms, includin...
Kernel methods, a new generation of learning algorithms, utilize techniques from optimization, stati...
Kernel learning algorithms are currently becoming a standard tool in the area of machine learning an...
This thesis studies the problem of supervised learning using a family of machines, namely kernel lea...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
This paper provides an introduction to support vector machines, kernel Fisher discriminant analysis,...
copies of this thesis and to lend or sell such copies for private, scholarly or scientific research ...
We briefly describe the main ideas of statistical learning theory, support vector machines, and kern...
A kernel has been developed to enable the construction of distributed and parallel software for sequ...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In the 1990s, a new type of learning algorithm was developed, based on results from statistical lear...
In this article, we will describe how the kernel approach can be easily implemented for simple and t...
In the 90s, a new type of learning algorithm was developed, based on results from statistical learni...
Lecture notes for a course to be taught at the Interdisciplinary College 2000, Gunne, Germany, March...
SVMÉcole thématiqueKernel Machines is a term covering a large class of learning algorithms, includin...
Kernel methods, a new generation of learning algorithms, utilize techniques from optimization, stati...
Kernel learning algorithms are currently becoming a standard tool in the area of machine learning an...
This thesis studies the problem of supervised learning using a family of machines, namely kernel lea...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
This paper provides an introduction to support vector machines, kernel Fisher discriminant analysis,...
copies of this thesis and to lend or sell such copies for private, scholarly or scientific research ...
We briefly describe the main ideas of statistical learning theory, support vector machines, and kern...
A kernel has been developed to enable the construction of distributed and parallel software for sequ...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...