Support Vector Machines and Kernels for Computational Biology

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Support Vector Machines and Kernels for Computational Biology

The increasing wealth of biological data coming from a large variety of platforms and the continued development of new high-throughput methods for probing biological systems require increasingly more sophisticated computational approaches. Putting all these data in simple to use databases is a first step; but realizing the full potential of the data requires algorithms that automatically extrac...

متن کامل

Data-driven Kernels for Support Vector Machines

Kernel functions can map data points to a non-linear feature space implicitly, and thus significantly enhance the effectiveness of some linear models like SVMs. However, in current literature, there is a lack of a proper kernel that can deal with categorical features naturally. In this paper, we present a novel kernel for SVM classification based on data-driven similarity measures to compute th...

متن کامل

Fast Support Vector Machines for Structural Kernels

In this paper, we propose three important enhancements of the approximate cutting plane algorithm (CPA) to train Support Vector Machines with structural kernels: (i) we exploit a compact yet exact representation of cutting plane models using directed acyclic graphs to speed up both training and classification, (ii) we provide a parallel implementation, which makes the training scale almost line...

متن کامل

Tangent Distance Kernels for Support Vector Machines

When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method at hand. A very common type of a-priori knowledge is transformation invariance of the input data, e.g. geometric transformations of image-data like shifts, scaling etc. Distance based classification methods can make use...

متن کامل

Genetically Constructed Kernels for Support Vector Machines

Data mining for customer relationship management involves the task of binary classification, e.g. to distinguish between customers who are likely to respond to direct mail and those who are not. The support vector machine (SVM) is a powerful learning technique for this kind of problem. To obtain good classification results the selection of an appropriate kernel function is crucial for SVM. Rece...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: PLoS Computational Biology

سال: 2008

ISSN: 1553-7358

DOI: 10.1371/journal.pcbi.1000173