Publications
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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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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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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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Breaking The Mold: Technology-Based Science Assessment In The 21st Century
This article will focus solely on how technology is changing the world of educational testing.
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Maximum Entropy Markov Models for Information Extraction and Segmentation
We address: modeling sequential data with HMMs, problems with previous methods: motivation, the maximum entropy Markov model, segmentation of FAQs: experiments and results.