Current modeling approaches in the field of learning and work resemble the notion of workflows and hence fall short in describing the situated and socially mediated nature of pract...
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
We present a novel approach to automatic synthesis of loopfree programs. The approach is based on a combination of oracle-guided learning from examples, and constraint-based synth...
Susmit Jha, Sumit Gulwani, Sanjit A. Seshia, Ashis...
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
First step in developing electronic book is to build a conceptual model. The model described in this paper is designed by integrating Multiple Intelligences Theory with existing el...