Publications
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From Moo To Meow: Domesticating Technology For Online Communities
Informed by our experience with TAPPED IN and reviews of related work, we are developing a new online “community-ware” technology called MEOW (Multi-user Educational Online Workspace) which can scale to…
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Integrated Pathway/Genome Databases and Their Role in Drug Discovery
We describe pathway-based analyses of the genomes of a number of medically relevant microorganisms, and a novel software tool that provides visualization of gene expression data on a diagram showing…
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EcoCyc: Electronic Encyclopedia of E. coli Genes and Metabolism
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How Inner-City Children See Their Family, School, Peers And Neighborhood: Developmental Changes During The Transition To Adolescence
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Cornerstones For An Online Community Of Education Professionals
Our goal is to learn how to grow a self-sustaining on-line community of education professionals that supports and enhances the professional growth of its members over the length of their…
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Efficient Lattice Representation and Generation
We describe two new techniques for reducing word lattice sizes without eliminating hypotheses.
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“…It’s Fair Because They Each Have Two”: The Development Of A Mathematical Practice Across Two Social Contexts
They have an equal chance of landing on...tails [R types] We think the game is fair because it has an equal chance of landing on heads as it has on tails.
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A Framework for Detecting Changes in Terrain
We propose a methodology that estimates the accuracy and reliability of the results of any multiple-image point correspondence algorithm, without the need for ground truth or camera calibration.
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Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point Correspondence Algorithms
We propose a methodology that estimates the accuracy and reliability of the results of any multiple-image point correspondence algorithm, without the need for ground truth or camera calibration.
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Automatic Detection of Sentence Boundaries and Disfluencies based on Recognized Words
We study the problem of detecting linguistic events at interword boundaries, such as sentence boundaries and disfluency locations, in speech transcribed by an automatic recognizer. Several model combination approaches are…
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Designing A Useful Evaluation Of The Comer School Development Program
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How Far Do Speakers Back Up in Repairs? A Quantitative Model
We propose a quantitative model that predicts the overall distribution of retrace lengths in a large corpus of spontaneous speech, based only on word position. Results have implications for modeling…