Support vector machines are one of the most popular machine learning methods for classification. Despite its great success, the SVM was originally designed for binary classification. Extensions to the ...

The Journal of the Operational Research Society, Vol. 60, No. 8, Data Mining and Operational Research: Techniques and Applications (Aug., 2009), pp. 1116-1122 (7 pages) The paper presents a novel ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, tumor size, and survival months. This skewness can undermine the assumptions ...

"A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type and design of foundation are important for ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

Overview Understanding key machine learning algorithms is crucial for solving real-world data problems effectively.Data scientists should master both supervised ...

Pinecone, a machine learning cloud infrastructure company, left stealth today with $10m in seed funding led by Wing Venture Capital. So what makes Pinecone special, rather than yet another database?