Dealing with activation of trajectory constraints within machine-tools CNC is usually performed directly by the axis controllers, leading to a compromise with axis performance. This paper presents an original strategy, including classical predictive feedback axis controllers, with an upper level real time trajectory planning module. This module realized without any structural changes in the mai...

In this paper, a new support vector machine classifier with probabilistic constrains is proposed which presence probability of samples in each class is determined based on a distribution function. Noise is caused incorrect calculation of support vectors thereupon margin can not be maximized. In the proposed method, constraints boundaries and constraints occurrence have probability density funct...

Combining machine learning [13, 16] and constraint satisfaction techniques is attracting considerable attention from a variety of researchers in the constraints community. In this talk we will review several examples of how techniques from the field of machine learning can be successfully exploited in the domain of constraint satisfaction. In particular, we will consider how we can exploit mach...

In this paper, we investigate an implementation of a lazy functional logic language (in particular the language BABEL MR88, MR92]) which uses disequality constraints for solving equations and building answers. We specify a new operational semantics which combines lazy narrowing with disequality constraints and we deene an abstract machine tailored to the execution of BABEL programs according to...

x Abstract In this paper 1 , we investigate an implementation of a lazy functional logic language (in particular the language BABEL MR88,MR92]) which uses disequality constraints for solving equations and building answers. We specify a new operational semantics which combines lazy narrowing with disequality constraints and we deene an abstract machine tailored to the execution of BABEL programs...