This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
Constraint programming can definitely be seen as a model-driven paradigm. The users write programs for modeling problems. These programs are mapped to executable models to calcula...
In this paper, we study the modelization of biochemical reaction by using concurrent constraint programming idioms. In particular we will consider the stochastic concurrent constra...
Business rules are an important element of information systems. The notion business rule encompasses different phenomena; therefore, some classification criteria are presented and...
Holger Herbst, Gerhard Knolmayer, Thomas Myrach, M...
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...