Publications
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National Early Intervention Longitudinal Study (NEILS): Family Enrollment Interview
For the SRI-led National Early Intervention Longitudinal Study (NEILS), telephone interviews were conducted with families to obtain information about child and family characteristics, etc.
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National Early Intervention Longitudinal Study (NEILS): Family Interim Interview
For the SRI-led National Early Intervention Longitudinal Study (NEILS), telephone interviews were conducted with families to obtain information about child and family characteristics, child functioning, and families’ perceptions of services.
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National Early Intervention Longitudinal Study (NEILS): Family Transition Interview
For the SRI-led National Early Intervention Longitudinal Study (NEILS) by RTI International, telephone interviews were conducted with families to obtain information about child and family characteristics, child functioning, and families’…
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A Guide to SNARK
Snark, SRI's New Automated Reasoning Kit, is a theorem prover intended for applications in artificial intelligence and software engineering. This document is an example-driven tutorial introduction to snark that will…
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The SRI March 2000 Hub-5 Conversational Speech Transcription System
We describe SRI's large vocabulary conversational speech recognition system as used in the March 2000 NIST Hub-5E evaluation.
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Determining the three-dimensional morphology of γ′-particles in γ-γ′ superalloys
We propose qualitative and quantitative methods for determining the three-dimensional morphology of second-phase particles in Ni-based superalloys in the late stages of coarsening.
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Measuring Students’ Environmental Awareness And Skill In Data Analysis And Interpretation: Designing Web-Based Assessment For The Globe Program
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Multiple-Target Tracking in Dense, Noisy Environments: A Probabilistic Mapping Perspective
A new approach is taken to address the various aspects of the multiple-target tracking (MTT) problem in dense and noisy environments.
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MAESTRO: Conductor of Multimedia Analysis Technologies
MAESTRO is a research and demonstration system developed at SRI International for exploring the contribution of a variety of analysis technologies
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XOL: An XML-Based Ontology Exchange Language
This document describes a language called XOL, is designed to provide a format for exchanging ontology definitions among a set of interested parties.
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Learning Probability Through The Use Of A Collaborative, Inquiry-Based Simulation Environment
In this paper we report on the Probability Inquiry Environment (PIE), which facilitates the development of probabilistic reasoning by making available collaborative inquiry activities and student-controlled simulations.
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The Chemsense Knowledge Building Environment