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Technology
Automatically constructing a dictionary for information extraction tasks
In AAAI-93, pp. 811รขยย816.
Parsing English with a link grammar
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Prioritized sweepingโReinforcement learning with less data and less time
Machine Learning, 13, 103โ130.
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
Machine Learning, 10, 249โ 278.
The mathematics of statistical machine translation: Parameter estimation
Brown, P. F., Della Pietra, S. A., Della Pietra, V. J., Mercer, R. L.
English-to-French I f _[ French-to-English We present an overview of Candide, a system for automatic e Channel " -] Decoder 6 translation of French text to English text.
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence, 64, 81รขยย129.
Towards a Reading Coach that Listens: Automated Detection of Oral Reading Errors
Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI93), American Association for Artificial Intelligence, Washington, DC, July 1993, pp. 392-397.
Neural Network Perception for Mobile Robot Guidance
Vision based mobile robot guidance has proven difficult for classical machine vision methods because of the diversity and real time constraints inherent in the task. This thesis describes a connectionist system called ALVINN (Autonomous Land Vehicle In a Neural Network) that overcomes these difficulties. ALVINN learns to guide mobile robots using the back-propagation training algorithm. Because of its ability to learn from example, ALVINN can adapt to new situations and therefore cope with the diversity of the autonomous navigation task. But real world problems like vision based mobile robot guidance presents a different set of challenges for the connectionist paradigm.
Statistical Language Learning
MIT Press. See also: Review of "Statistical language learning" by Eugene Charniak (http://europepmc.org/abstract/CIT/136037).
Oscillatory Neural Fields for Globally Optimal Path Planning
A neural network solution is proposed for solving path planning problems The proposed network is a two-dimensional sheetfaced by mobile robots. of neurons forming a distributed representation of the robot's workspace. Lateral interconnections between neurons are "cooperative", so that the network exhibits oscillatory behaviour. These oscillations are used to generate solutions of Bellman's dynamic programming equation in the context of path planning. Simulation experiments imply that these networks locate paths even in the presence of substantial levels of circuitglobal optimal nOlse. 1 Dynamic Programming and Path Planning Consider a 2-DOF robot moving about in a 2-dimensional world. A robot's location is denoted by the real vector, p.