We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
We propose a framework for optimization problems based on particle filtering (also called Sequential Monte Carlo method). This framework unifies and provides new insight into rand...
We present a new LR algorithm for treeadjoining grammars. It is an alternative to an existing algorithm that is shown to be incorrect. Furthermore, the new algorithm is much simpl...
This paper describes a new Ant Colony Optimization (ACO) algorithm for solving Graph Matching Problems, the goal of which is to find the best matching between vertices of multi-la...
In this paper we present an algorithm to construct low-cost source trees for multicast with multiple QoS constraints and dynamic membership. Assuming the availability of link-state...