Artificial intelligence publications
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Using Data Mining Findings to Aid Searching for Better Cognitive Models
We propose a hybrid approach in which we leverage findings from our previous educational data mining work to aid the search for a better cognitive model and thus, improve the…
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Bounded Verification of Adaptive Flight Control Systems
We formally verify a direct model reference adaptive control (MRAC) method that is used to enable flight control in adverse conditions.
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A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base
Our long-term goal is to build a query answering system that can answer questions on a wide variety of topics and explain the answers.
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Gibbs Sampling in Open-Universe Stochastic Languages
This paper goes some way to remedying this deficit by introducing, and proving correct, a generalization of Gibbs sampling to partial worlds with possibly varying model structure.
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An advanced web query interface for biological databases
We present a web interface for building precise queries for biological DBs that can construct much more precise queries than most web-based query forms, yet that is user friendly enough…
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Pathway Tools Version 13.0: Integrated Software for Pathway/Genome Informatics and Systems Biology
Pathway Tools is a production-quality software environment for creating a type of model-organism database called a Pathway/Genome Database (PGDB).
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The Metacyc Database of Metabolic Pathways and Enzymes and the Biocyc Collection of Pathway/Genome Databases
Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database.
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Deductive Formation of Recursive Workflows
We present an action theory with the power to represent recursive plans and the capability to reason about and synthesize recursive workflow control structures.
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Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant
We discuss experiences from evaluating the learning performance of a user-adaptive personal assistant agent.
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Task Assistant: Personalized Task Management for Military Environments
We describe an AI-enhanced task management tool developed for a military environment, which differs from office environments in important ways: differing time scales, a focus on teams collaborating on tasks…
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Efficient Online Learning and Prediction of Users’ Desktop Actions
We show that simple efficient many-class learning can perform well for action prediction, significantly improving over previously published results and baselines.
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What We Can Learn About Escherichia Coli Through Application of Gene Ontology
Gene Ontology (GO) is one of the most successful systems for classifying biological function. Although GO is widely used for eukaryotic genomics, it has not yet been widely used for…