# support vector machine

### Ramp Loss Linear Programming Support Vector Machine

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### Study on proximal support vector machine as a classifier

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**machine**(PSVM) focuses on the pattern classification of binary ...weight

**vector**during training time to reduce the training classification ...weight

**vector**is ...

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### The Application of Support Vector Machine in Load Forecasting

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**machine**is suitable for the modeling of small samples and poor information, and the fitting result and generalization ability are ...

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### The Entire Regularization Path for the Support Vector Machine

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**machine**(SVM) is a widely used tool for classification. Many efficient imple- mentations exist for fitting a two-class SVM model. The user has to supply values for the tuning ...

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### Twin Support Vector Machine in Linear Programs

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**machine**(GEPSVM) and twin

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**machine**(TWSVM) are two typical classiﬁcation methods and are also very ...bounded

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### A Bahadur Representation of the Linear Support Vector Machine

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**machine**has been successful in a variety of ...the

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**machine**have been studied quite extensively with a particular attention to its Bayes risk ...

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### GenSVM: A Generalized Multiclass Support Vector Machine

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**machine**(SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem. Here, a general- ized multiclass ...

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### Comparison Of Various Kernels Of Support Vector Machine

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### Distributed Inference for Linear Support Vector Machine

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**machine**...statistical

**machine**learning, which finds a wide range of applications in image analysis, medicine, finance, and other ...in

**machine**learning ...

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### Analysis of Machine Learning through Support Vector Machine: Catalyst

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### Support Vector Machine Technique for EEG Signals

**Machine**learning methods are helpful for interpreting high dimensional feature sets and analyze the characteristics of brain ...patterns.

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**Machine**is one of the ...

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### Parameter Selection Algorithm for Support Vector Machine

**machine**by controlling the complexity of its models.

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**Machine**(SVM) is a new general

**machine**learning algorithm developed from Statistical Learning ...

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### Document Classification Using Support Vector Machine

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**Machine**(SVM) for calculating term frequency of the features used as Sports, Business and Entertainment for categorization with the help of a manual domain ...

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### A Review on Support Vector Machine for Data Classification

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### Anomaly Detection using Support Vector Machine

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**machine**emulation experiment from an international credit card ...detection,

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**machine**that fuse information from various ...

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### Interval valued Fuzzy Support Vector Machine

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**machine**(FSVM) hardly distinguishes between the sparse sample points and the dense ones with the same membership, it may further reduce the classification ...fuzzy

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### Data-Adaptive Kernel Support Vector Machine

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**Machine**(SVM) may be the most popularly used algorithms on classication, well renowned for its strong foundations in theory, performance of gen- eralization and the capability in ...

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### Email categorization using support vector machine

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### Robust Multi Weight Vector Projection Support Vector Machine

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**machine**(SVM) has gained a great deal of attention due to its great generalization ability, which has been a powerful classification method in the

**machine**learning [1] ...

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### Perbandingan Reduced Support Vector Machine Dan Smooth Support Vector Machine Untuk Klasifikasi Large Data

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