In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
A set of presentations covering the book, which includes the following topics ER Model and Conceptual Design, The Relational Model and SQL DDL, Relational Algebra, SQL, Database Ap...
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sara...
Error correcting output codes (ECOC) represent a classification technique that allows a successful extension of binary classifiers to address the multiclass problem. In this paper...