• No results found

linear support vector machine

Hierarchical linear support vector machine

Hierarchical linear support vector machine

... Hierarchical Linear Support Vector Machine (H-LSVM), based on the construction of an oblique decision tree in which the node split is obtained as a Linear Support Vector ...

34

Distributed Inference for Linear Support Vector Machine

Distributed Inference for Linear Support Vector Machine

... for linear support vector machine (SVM) for the binary classification ...distributed linear-type (MDL) estimator for conducting inference for linear ...classical linear ...

41

A Bahadur Representation of the Linear Support Vector Machine

A Bahadur Representation of the Linear Support Vector Machine

... The support vector machine has been successful in a variety of ...the support vector machine have been studied quite extensively with a particular attention to its Bayes risk ...

26

Learning Filters for Object Recognition with Linear Support Vector Machine

Learning Filters for Object Recognition with Linear Support Vector Machine

... Jiabao Wang*, Jianjiang Lu, Yafei Zhang, Weiguang Xu Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China Abstract This paper is contributed to object recognition with ...

5

Exploiting separability in large-scale linear support vector machine training

Exploiting separability in large-scale linear support vector machine training

... Kristian Woodsend · Jacek Gondzio April 9, 2009 Abstract Linear support vector machine training can be represented as a large quadratic program. We present an efficient and numerically stable ...

27

Exploiting separability in large-scale linear Support Vector Machine training

Exploiting separability in large-scale linear Support Vector Machine training

... April 9, 2009 Abstract Linear support vector machine training can be represented as a large quadratic program. We present an efficient and numerically stable algo- rithm for this problem using ...

26

Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training

Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training

... Support vector machines are a powerful machine learning technology, but the training process involves a dense quadratic optimization problem and is computationally ...of linear Support ...

17

Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training

Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training

... Support vector machines are a powerful machine learning technology, but the training process involves a dense quadratic optimization problem and is computationally ...of linear Support ...

18

Interpreting linear support vector machine models with heat map molecule coloring

Interpreting linear support vector machine models with heat map molecule coloring

... for machine learning algorithms to infer such ...a machine learning model is a desired property to guide the optimization of a compound in later drug discovery ...stages. Linear support ...

12

Dual Random Projection for Linear Support Vector Machine

Dual Random Projection for Linear Support Vector Machine

... to the rp-LSVM, and propose a linear kernel SVM based on dual random projection (drp-LSVM), which solves the advantages of rp-LSVM Accuracy of the problem. The theoretical analysis shows that drp-LSVM is ...

8

Memory-efficient large-scale linear support vector machine

Memory-efficient large-scale linear support vector machine

... c ECS, University of Southampton, United Kingdom, {asar1a10, mn}@ecs.soton.ac.uk ABSTRACT Stochastic gradient descent has been advanced as a computationally efficient method for large-scale problems. In classification ...

6

Gene Selection and Classification Using Linear Support Vector Machine Based On Microarray Data

Gene Selection and Classification Using Linear Support Vector Machine Based On Microarray Data

... KEYWORDS:Cancer Classification, Microarray data, Fuzzy Preference, Particle Swarm Optimization, Principle Component Analysis Support Vector Machine I. I NTRODUCTION Cancer is also known as a ...

6

Twin Support Vector Machine in Linear Programs

Twin Support Vector Machine in Linear Programs

... This paper propose a new algorithm, termed as LPTWSVM, for binary classification problem by seeking two nonparallel hyperplanes which is an improved method for TWSVM. We improve the recently proposed ITSVM and develop ...

9

FPGA Simulation of Linear and Nonlinear Support Vector Machine

FPGA Simulation of Linear and Nonlinear Support Vector Machine

... pairwise Support Vector Machine (SVM) classifiers on FPGA is ...architecture, vector multiplication operation and classification of pairwise classifiers is designed in parallel and ...of ...

9

Ramp Loss Linear Programming Support Vector Machine

Ramp Loss Linear Programming Support Vector Machine

... This work was supported in part by the scholarship of the Flemish Government; Research Council KUL: GOA/11/05 Ambiorics, GOA/10/09 MaNet, CoE EF/05/006 Optimization in Engineering (OPTEC), IOF-SCORES4CHEM, several ...

27

Random Projection for Linear 2 norm Support Vector Machine

Random Projection for Linear 2 norm Support Vector Machine

... The solving speed for SVMs still needs to improve for high dimension with small sample problems, especially in image classification problems. It is common to use dimensionality reduction methods [5], such as Principal ...

9

Sales Forecasting using Linear Regression and Support Vector Machine

Sales Forecasting using Linear Regression and Support Vector Machine

... executing machine learning models that run automatically and present a monthly or quarterly forecast of a customer's sales metric ...SVM Support Vector Machine (SVM using Java), Tree based ...

7

Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non

Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non

... . Linear QSAR models were developed, using the most simple and popular method multiple linear regression and support vector machine aided linear method while non-linear ...

6

Support Vector Machine

Support Vector Machine

... All cases, error is zero and they are linear, so they are all good for generalization... 11[r] ...

36

Support Vector Machine

Support Vector Machine

... One third setting that’s of interest is if n is small but m is large. So n again maybe in the range from 1 upto 1000, or could be larger, but m is, maybe 50000 and greater, upto millions. You have a very, very large ...

28

Show all 10000 documents...

Related subjects