PROFESSIONAL EXPERIENCE PATENTS RESEARCH EXPERIENCE (2008)
Advisors Geoff Gordon, Sebastian Thrun, Artificial Intelligence Planning, Graph Searches, Machine Learning
Researched and implemented voice quality improvement algorithms for the use in telecommunication systems. 01/96 – 05/96, Dialogic Corporation, Parsippany, NJ
Enric Plaza, Yves Kodratoff (eds, Machine Learning, Knowledge Acquisition, Leonard Breslow, Jeffrey Ullman, ...
scale and weight-addition tasks. The Journal of General Psychology, 118, 251-261. (2008)
J. L. Connectionism, Diego Ca, Ma Blackwell, Machine Learning
Aoki, T. (1991). The relation between two kinds of U-shaped growth curves: Balance-
Machine Learning, Asker Lars, Bostrom Henrik, Carla E, Sally Jo, Andrea P, ...
Predictive accuracy is the usual measure of success of ML applications. However, experience from several applications of ML in difficult domains is pointing towards the importance of interpretability...
• Nonparametric methods Bibliography (2007)
Mikko Korpela, Multinomial Variables, Machine Learning
• The exponential family
John Cavazos, Machine Learning, Statistical Methods, Interdisciplinary Research
As a researcher in the ICSA, I published 13 papers on compiler optimization that appeared at international conferences [1,2,3,4,5,6,7,8,9,10,11,12,13]. I was technical leader of a group called COLO...
• Thesis: 3-D Modeling of Human Organs for Virtual Laparoscope Surgery Using (2003)
Gunhee Kim, Computer Vision, Machine Learning, Data Mining
Contact Information Research
High Performance Computing, Machine Learning, Bayesian Data Analysis, Game Ai, Ontario Canada, Yew Jin Lim
Game-tree search is a common technique used in game-playing programs. However, the number of nodes to search grows exponentially with increasing depth. Forward pruning, or selective search, is thus...
A Polynomial Time Incremental Algorithm for Regular Grammar Inference (1997)
Incremental Algorithms, Machine Learning, Rajesh Parekh, Rajesh Parekh, Codrin Nichitiu, Codrin Nichitiu, ...
We present an efficient incremental algorithm for learning regular grammars from labeled examples and membership queries. This algorithm is an extension of Angluin's ID procedure to an...
A polynomial time incremental algorithm for regular grammar inference (1997)
Vasant Honavar, Incremental Algorithms, Machine Learning, Rajesh Parekh, Rajesh Parekh, Codrin Nichitiu, ...
grammar inference, regular grammars, nite state automata, language learning, active
Machine Learning, Rix Groenboom, Knowledge Acquisition, Dieter Fensel, R. Groenboom
. We investigate the formal specification of the dynamic reasoning process of knowledge-based systems. The main contributions of the paper are: defining a formal framework for describing the dynamic...
Modeling and Debugging Engineering Decision Procedures With Machine Learning (1996)
Machine Learning, Yoram Reich, Tung-Ying Shieh, Miguel Medina, Timothy Jacobs
This paper reports on the use of machine learning systems for modeling existing engineering decision procedures. In this activity, various models of an existing decision procedure are constructed by...
For the love of learning (1994)
Abstract. Multitask Learning is an approach to inductive transfer that improves generalization by using the domain information contained in the training signals of related tasks as an inductive bias....
Machine Learning, A. Meyrowitz, S. Chipman
that the task plan can be recalled when the same task related to the same objects is requested again. The ability of choosing different path planning algorithms in different geometric region is an...