We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...
Abstract- This paper explores valuing long-term equity forwardcontracts or futures where both the underlying volatility and the interest rates are modeled as stochastic random vari...
Abstract. Computing the minimal network (or minimal CSP) representation of a given set of constraints over the Point Algebra (PA) is a fundamental reasoning problem. In this paper ...