Publications
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Exact lifted inference with distinct soft evidence on every object
We show that both exact maximum a posteriori (MAP) and marginal inference can be lifted for the case of distinct soft evidence on a unary Markov Logic predicate.
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Recognizing articulatory gestures from speech for robust speech recognition
This paper proposes a neural network architecture for recognizing articulatory gestures from speech and presents ways to incorporate articulatory gestures for a digit recognition task.
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Bag-of-Audio-Words Approach for Multimedia Event Classification
We explore variations of the BoAW method and present results on NIST 2011 multimedia event detection (MED) dataset.
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Leveraging Psycholinguistic Resources and Emotional Sequence models for Suicide Note Emotion Annotation
We describe the submission entered by SRI International and UC Davis for the I2B2 NLP Challenge Track 2. Our system is based on a machine learning approach and employs a…
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Regulatory Network Operations in the Pathway Tools Software
Pathway Tools provides a comprehensive environment for manipulating molecular regulatory interactions that integrates regulatory data with an organism’s genome and metabolic network.
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The 2012 SESAME Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) Systems
The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting.
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Construction and completion of flux balance models from pathway databases
We present a multiple gap-filling method to accelerate the development of FBA models using a new tool, called MetaFlux, based on mixed integer linear programming (MILP).
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A corpus of online discussions for research into linguistic memes
We describe a 460-million word corpus of online discussions.
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Photoimmobilization of Saccharides
We review a versatile photochemical method to carbohydrate immobilization that does not require premodification of the carbohydrate.
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Applying Learning Curves to Modeling Future Coal and Gas Power Generation Technologies
To forecast each of these competing technologies under various scenarios of electricity demand, fuel cost, and research investment, we created a Power Technology Futures Model (PTFM) based on “learning curves”…
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Understanding the Implications of Online Learning for Educational Productivity
The purpose of this report is to support educational administrators and policymakers in becoming informed consumers of information about online learning and its potential impact on educational productivity.
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Evaluation of the California Linked Learning District Initiative: Year-Two Report, Executive Summary
Two years into an initiative designed to embed and test this approach within nine California school districts, the evaluation findings reveal signs of progress...