Despite much progress, state-of-the-art learning algorithms for repeated games still often require thousands of moves to learn effectively – even in simple games. Our goal is to find algorithms that learn to play effective strategies in tens of moves in many games when paired against various associates. Toward this end, we describe a new meta-algorithm designed to increase the learning speed an...

Human beings have an apparently innate ability to segment continuous audio speech into words, and that ability is present in infants as young as 8 months old. This propensity towards audio segmentation seems to lay the groundwork for language learning in human beings. To artificially reproduce this ability would be both practically useful and theoretically enlightening. In this paper we propose...

The Hierarchical mixture of experts(HME) architecture is a powerful tree structured architecture for supervised learning. In this paper, an eecient one-pass algorithm to solve the M-step of the EM iterations while training the HME network to perform classiication tasks, is rst described. This substantially reduces the training time compared to using the IRLS method to solve the M-step. Further,...

Successful collaboration among developers is crucial to the completion of software projects in a Distributed Software System Development (DSSD) environment. We have developed an Expert Recommender System Framework (ERSF) that assists a developer (called the “Active Devel-­ oper”) to find other developers who can help them to fix code with which they are having difficulty. The ERSF first loo...

Expert finding is an information retrieval task concerned with the search for the most knowledgeable people, in some topic, with basis on documents describing peoples activities. The task involves taking a user query as input and returning a list of people sorted by their level of expertise regarding the user query. This paper introduces a novel approach for combining multiple estimators of exp...

Glucose monitoring helps diabetic patients manage their blood glucose levels. Diabetics who carefully control their blood glucose levels can signi cantly reduce the number of long-term complications in diabetes [3]. Presently, diabetics estimate their blood glucose level by obtaining a small amount of blood with a nger stick, followed by external analysis of this blood sample for glucose conten...

The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a non-linear generative model of handwritten images of digits. The quality of generative models learned in this way can be assessed by learning a separate model for each class of digit and then comparing the unnormalized probabilities of test images under the 10 different class-specifi...