Incorporating prior knowledge in support vector regression
نویسندگان
چکیده
منابع مشابه
Motivated Support Vector Regression with Structural Prior Knowledge
It’s known that incorporating prior knowledge into support vector regression (SVR) can help to improve the approximation performance. Most of researches are concerned with the incorporation of knowledge in form of numerical relationships. Little work, however, has been done to incorporate the prior knowledge on the structural relationships among the variables (referred as to Structural Prior Kn...
متن کاملMotivated Support Vector Regression using Structural Prior Knowledge
It’s known that incorporating prior knowledge into support vector regression (SVR) can help to improve the approximation performance. Most of researches are concerned with the incorporation of knowledge in the form of numerical relationships. Little work, however, has been done to incorporate the prior knowledge on the structural relationships among the variables (referred as to Structural Prio...
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We explore methods for incorporating prior knowledge about a problem at hand in Support Vector learning machines. We show that both invariances under group transfonnations and prior knowledge about locality in images can be incorporated by constructing appropriate kernel functions.
متن کاملIncorporating prior knowledge in support vector machines for classification: A review
For classification, support vector machines (SVMs) have recently been introduced and quickly became the state of the art. Now, the incorporation of prior knowledge into SVMs is the key element that allows to increase the performance in many applications. This paper gives a review of the current state of research regarding the incorporation of two general types of prior knowledge into SVMs for c...
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Gender classification based on facial images is a large-scale, complicated two-class classification problem by nature. The reason is that few knowledge is known about the mechanism of human beings discriminating male and female from facial images, and a large number of various facial images is required to train the gender classifier. This paper presents a method for dealing with the gender clas...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2007
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-007-5035-5