This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
According to choice models in economics, consumer choice can be modeled as a two-stage process, starting with the choice of feasible alternatives, called the screening process, fol...
Convergence is a central problem in both computer science and in population biology. Will a program terminate? Will a population go to an equilibrium? In general these questions ar...
T-functions were introduced by Klimov and Shamir in a series of papers during the last few years. They are of great interest for cryptography as they may provide some new building ...
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...