Search Results - subject:"Support Vector Machine"

Forecasting corporate distress in the Asian and Pacific region

Moro, Russ; Härdle, Wolfgang; Aliakbari, Saeideh; … - 2011

Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of …

Persistent link: https://www.econbiz.de/10009125559

On robustness properties of convex risk minimization methods for pattern recognition

Christmann, Andreas; Steinwart, Ingo - 2003

cases. A sensitivity analysis of the support vector machine is given. …

Persistent link: https://www.econbiz.de/10010477496

Identification of a standard AI based technique for credit risk analysis

Punniyamoorthy, M.; Sridevi, P. - In: Benchmarking: An International Journal 23 (2016) 5, pp. 1381-1390

financial persuasions. The purpose of this paper is to construct neural network (NN) and fuzzy support vector machine (FSVM …

Persistent link: https://www.econbiz.de/10014684581

A Hybrid Kernel Extreme Learning Machine and Improved Cat Swarm Optimization for Microarray Medical Data Classification

Chakravarty, S.; Bisoi, R.; Dash, P. K. - In: International Journal of Applied Evolutionary … 7 (2016) 3, pp. 71-100

kernel extreme learning machine (RKELM) along with support vector machine (SVMRBF) and support vector machine polynomial …

Persistent link: https://www.econbiz.de/10012042702

A Key Point Selection Shape Technique for Content Based Image Retrieval System

Nikkam, Pushpalatha Shrikant; Reddy, B. Eswara - In: International Journal of Computer Vision and Image … 6 (2016) 2, pp. 54-70

Content Based Image Retrieval (CBIR) is the process of retrieving visually similar images from huge datasets. Images are identified based on their content. Content identification using shape features is considered in this paper. Content identification using shapes is a challenging task...

Persistent link: https://www.econbiz.de/10012043819

Human Voice Waveform Analysis for Categorization of Healthy and Parkinson Subjects

Saloni, Saloni; Sharma, Rajender K.; Gupta, Anil K. - In: International Journal of Healthcare Information Systems … 11 (2016) 1, pp. 21-35

waveform. Support vector machine is used as a classifier. Maximum 86.8% classification accuracy is achieved using linear kernel …

Persistent link: https://www.econbiz.de/10012045184

Use of Data Reduction Process to Bankruptcy Prediction: Evidence from an Emerging Market

Sardasht, Morteza Shafiee; Saheb, Saeed - In: International Journal of Information Systems and Social … 7 (2016) 2, pp. 27-46

train Support Vector Machine (SVM) as the powerful prediction model. Regarding the empirical results, among the …

Persistent link: https://www.econbiz.de/10012045735

Combining Block DCV and Support Vector Machine for Ear Recognition

Hailong, Zhao; Junyan, Yi - In: International Journal of Interdisciplinary … 8 (2016) 2, pp. 36-44

divided into 16 blocks firstly and the features are extracted by applying DCV to the sub-images. Furthermore, Support Vector … Machine is used as classifier to make decision. The experimental results show that the proposed method performs better than …

Persistent link: https://www.econbiz.de/10012045932

Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction

Mishra, Brojo Kishore; Mishra, Sushruta; Sahoo, Soumya; … - In: International Journal of Knowledge Discovery in … 6 (2016) 2, pp. 29-43

Diabetes has affected over 246 million people worldwide and by 2025 it is expected to rise to over 380 million. With the rise of information technology and its continued advent into the medical and healthcare sector, different symptoms of diabetes are being documented. The techniques inspired...

Persistent link: https://www.econbiz.de/10012046199

Analysis of Gait Flow Image and Gait Gaussian Image Using Extension Neural Network for Gait Recognition

Arora, Parul; Srivastava, Smriti; Singhal, Shivank - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 2, pp. 45-64

This paper proposes a new technique to recognize human gait by combining model free feature extraction approaches and a classifier. Gait flow image (GFI) and gait Gaussian image (GGI) are the two feature extraction techniques used in combination with ENN. GFI is a gait period based technique,...

Persistent link: https://www.econbiz.de/10012047354