We present a simple, first-order approximation algorithm for the support vector classification problem. Given a pair of linearly separable data sets and ∈ (0, 1), the proposed algorithm computes a separating hyperplane whose margin is within a factor of (1 − ) of that of the maximum-margin separating hyperplane. We discuss how our algorithm can be extended to nonlinearly separable and inseparab...

Intelligence Quotient (IQ) has monopolized intelligence theory. A person's is only measured through the results of tests, which are logical-mathematical, quantitative and linear. As a result, other aspects human neglected. The hegemony IQ theory inseparable from historical, scientific, cultural backgrounds. Historically, indeed first more than 200 years old, starting with Gall's Phrenology.

Provides solid guidance for new and existing management structures Information technology (IT) and business, always closely intertwined, are now becoming virtually inseparable. While maintaining their traditional role of increasing organizational efficiency and effectiveness, IT departments are now often required to lead businesses into new industry structures and markets, most recently e-busin...

Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is often time consuming. In contrast, we can efficiently train and test much larger data sets using linear SVM without kernels. In this work, we apply fast linear-SVM methods to the explicit form of polynomially mapped da...