Journal ArticleDOI
LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
TLDR
Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.Abstract:
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.read more
Citations
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Journal ArticleDOI
pRNAm-PC: Predicting N(6)-methyladenosine sites in RNA sequences via physical-chemical properties.
TL;DR: A new predictor called pRNAm-PC is proposed, in which RNA sequence samples are expressed by a novel mode of pseudo dinucleotide composition (PseDNC) whose components were derived from a physical-chemical matrix via a series of auto-covariance and cross covariance transformations.
Journal ArticleDOI
WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation
Emidio Capriotti,Remo Calabrese,Piero Fariselli,Pier Luigi Martelli,Russ B. Altman,Rita Casadio +5 more
TL;DR: This work presents the web server implementation of SNPs&GO, a valuable tool that includes in a unique framework information derived from protein sequence, structure, evolutionary profile, and protein function.
Journal ArticleDOI
Robust sound event classification using deep neural networks
TL;DR: A sound event classification framework is outlined that compares auditory image front end features with spectrogram image-based frontEnd features, using support vector machine and deep neural network classifiers, and is shown to compare very well with current state-of-the-art classification techniques.
Proceedings ArticleDOI
PFID: Pittsburgh fast-food image dataset
TL;DR: The first visual dataset of fast foods is introduced with a total of 4,545 still images, 606 stereo pairs, 303 360° videos for structure from motion, and 27 privacy-preserving videos of eating events of volunteers to stimulate research on fast food recognition for dietary assessment.
Journal ArticleDOI
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
Cheng-Lung Huang,Cheng-Yi Tsai +1 more
TL;DR: Wang et al. as mentioned in this paper hybridized SVR with the self-organizing feature map (SOFM) technique and a filter-based feature selection to reduce the cost of training time and to improve prediction accuracies.
References
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Journal ArticleDOI
Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Statistical learning theory
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A training algorithm for optimal margin classifiers
TL;DR: A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented, applicable to a wide variety of the classification functions, including Perceptrons, polynomials, and Radial Basis Functions.
A Practical Guide to Support Vector Classication
TL;DR: A simple procedure is proposed, which usually gives reasonable results and is suitable for beginners who are not familiar with SVM.
Journal ArticleDOI
A comparison of methods for multiclass support vector machines
Hsu Chih-Wei,Chih-Jen Lin +1 more
TL;DR: Decomposition implementations for two "all-together" multiclass SVM methods are given and it is shown that for large problems methods by considering all data at once in general need fewer support vectors.