Abstract. In this paper, we propose a general model of schema matching based on the following ideas: on the one hand, a schema is viewed as a context (namely as a partial and appro...
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
Microarray technology produces large amounts of information to be manipulated by analysis methods, such as biclustering algorithms, to extract new knowledge. All-purpose multivaria...
— We present an efficient, anytime method for path planning in dynamic environments. Current approaches to planning in such domains either assume that the environment is static ...
In this paper, we present a novel framework for asynchronous Web-based training. The proposed system has two distinguishing features. Firstly, it is based on P2P architecture for ...