Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied
Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical propertie
This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Ker
Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and re
