In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
The number of clinical trials reports is increasing rapidly due to a large number of clinical trials being conducted, it therefore raises an urgent need to utilize the clinical kno...
This paper presents a fuzzy system approach to the prediction of nonlinear time series and dynamical systems based on a fuzzy model that includes its derivative information. The u...
In most theorem proving applications, a proper treatment of equational theories or equality is mandatory. In this paper we show how to integrate a modern treatment of equality in ...
Abstract. We describe a theorem prover that is used in the Why2Atlas tutoring system for the purposes of evaluating the correctness of a student’s essay and for guiding feedback ...