Briefs

Roger Haddad, CEO, KXEN, says: "This is an extremely momentous occasion for KXEN as the mastermind behind the Statistical Learning Theory, on which our technology is based, joins our scientific committee. Professor Vapnik delivers the brainpower to keep the KXEN technology at the forefront of statistical theory."

Professor Vapnik's major achievements include the development of a general theory for minimizing the expected risk of losses using empirical data, and a new type of learning machine called the Support Vector machine that possesses a high level of generalization ability. These techniques have been used to solve many pattern recognition and regression estimation problems and been applied to the problems of dependency estimation, forecasting, and constructing intelligent machines.

For more information, see www.kxen.com