# [PDF] Top 20 Using Heuristic Model to Improve the Efficiency of Support Vector Machines

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### Using Heuristic Model to Improve the Efficiency of Support Vector Machines

... -**Support** **Vector** **Machines** (SVM) have become increasingly popular tools for many data mining ...applied **to** a lot **of** applications about text categorization, handwritten character ... See full document

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### Product Rating Prediction with Online Reviews Using Support Vector Machines

... our **model**‟s ...it **to** make ...on **the** bottom **of** **the** screen, Then a few days later ...went **to** brush it away, It did not move, Then i relaized it was behind **the** screen, Then i ... See full document

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### Predicting RNA-binding sites of proteins using support vector machines and evolutionary information

... a **support** **vector** machine **model** **to** predict RNA- binding sites in ...Besides **the** incorporation **of** evolutionary information from standard PSSM profiles, **the** proposed smoothed ... See full document

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### Prediction of small non-coding RNA in bacterial genomes using support vector machines

... organization **The** process ﬂow **of** our method is depicted in ...among **the** intergenic regions **of** related bacterial ...for **the** existence **of** putative Rho-independent terminators beside ... See full document

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### A Study of Taiwan's Issuer Credit Rating Systems Using Support Vector Machines

... for **the** other lower ratings, **the** accuracy rates declined according **to** **the** rating ...in **the** lowest class, & twBB, **the** accuracy rate declined **to** ...most **of** them were ... See full document

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### Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences

... possible **to** determine **the** full states **of** cysteines from **the** knowledge **of** **the** states **of** **the** ﬁrst few ...given **the** states **of** **the** ﬁrst 2 ... See full document

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### Working Set Selection Using Second Order Information for Training Support Vector Machines

... Despite **the** above issue **of** how **to** effectively use second order information, **the** real challenge is whether **the** new WSS 2 can cause shorter training time than WSS ...Now **the** two ... See full document

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### Asymptotic behaviors of support vector machines with gaussian kernel

... Department **of** Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan **Support** **vector** **machines** (SVMs) with **the** gaussian (RBF) kernel have been ... See full document

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### Load forecasting using support vector machines: A study on EUNITE competition 2001

... than **using** **the** estimation coming from **the** data **of** **the** three other ...implies **the** difficulty **of** incorpora- tion **of** **the** ...temperature. **To** further ... See full document

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### Radius Margin Bounds for Support Vector Machines with the RBF Kernel

... fair **to** say that SVM elegantly separates things **to** different stages where **the** innermost one solves simple convex ...together, **the** SVM software will be more ...need **to** provide different ... See full document

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### A Guide to Support Vector Machines

... 3.3. **MODEL** SELECTION 33 **the** cross-validation ...prefer **the** simple grid-search ...safe **to** use methods which avoid doing an exhaustive parameter search by approximations or ...heuristics. ... See full document

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### Digital Watermarking of Color Images Using Support Vector Machines

... (SCIW). **The** SVM can be trained for an optimal hyperplane from **the** given training patterns composed **of** **the** preamble information and **the** corresponding watermarked color ...Due **to** ... See full document

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### The analysis of decomposition methods for support vector machines

... Analysis **of** Decomposition Methods for **Support** **Vector** **Machines** Chih-Chung Chang, Chih-Wei Hsu, and Chih-Jen Lin Abstract—**The** **support** **vector** machine (SVM) is a new and ... See full document

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### An Automatic Method for Selecting the Parameter of the Normalized Kernel Function to Support Vector Machines

... REVIEWS **OF** KERNEL METHOD AND SOFT-MARGIN **SUPPORT** **VECTOR** **MACHINES** ...dimensionality, **the** number **of** spectral bands, potentially have better class ...separability. **The** ... See full document

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### AN AUTOMATIC METHOD FOR SELECTING THE PARAMETER OF THE RBF KERNEL FUNCTION TO SUPPORT VECTOR MACHINES

... with **the** RBF kernel. Which are **the** best for a given problem is unknown ...beforehand. **To** identify good and so that **the** classifier can accurately predict unknown samples is **the** main ... See full document

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### On the convergence of the decomposition method for support vector machines

... understood. **The** general asymptotic convergence was first proposed by Chang et ...proved **the** convergence finite termination for practical cases while **the** size **of** **the** working set is ... See full document

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### Expediting Model Selection for Support Vector Machines Based on Data Reduction

... how **to** speed up **the** **model** selection process **of** SVM has emerged as a critical issue for ex- tending **the** applications **of** ...because **the** **model** selection process ... See full document

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### A study of reduced support vector machines

... resolving **the** difficulty on handling large data sets **using** SVM with nonlinear kernels, it preselects a subset **of** data as **support** vectors and solves a smaller optimization ...issues **of** ... See full document

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### An Image Coding Scheme Using SMVQ and Support Vector Machines

... 摘要: **To** efficiently compress images, **the** spatial relations among image blocks **to** achieve low bit-rate compression has been widely adopted in these ...example **of** **using** such spatial ... See full document

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### Incremental Reduced Support Vector Machines

... Reduced **Support** **Vector** Machine (IRSVM) that starts with an extremely small reduced set and then sequentially expands **to** include informative data points into **the** reduced ...mechanism **to** ... See full document

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