SRI International
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Additive Manufacturing of Functionally Graded Objects: A Review
In this paper, we focus on providing an overview of research at the intersection of AM techniques and FGM objects.
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Evaluating and Understanding STEM Teaching and Learning in Early Childhood
SRI Education, a division of SRI International, has been at the forefront of much of this research on early STEM. SRI’s work in early STEM can be broadly categorized into three areas that compliment and inform each other: research and development efforts, evaluations, and assessment initiatives.
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Relational Similarity Machines
In this work, we propose Relational Similarity Machines (RSM) a fast, accurate, and flexible relational learning framework for supervised and semi-supervised classification problems.
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Can low-Cost online summer math programs improve student preparation for college-level math? Evidence from randomized experiments at three universities
We conducted randomized experiments of low-cost online summer math programs to test whether this type of intervention can increase access to math preparation, improve placement and enrollment in fall math classes, and improve performance in first-year math courses.
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Technology for Learning Mathematics: What Can We Learn from Large-Scale Studies?
At SRI, our vision for changing the world in mathematics education has been to “democratize access to advanced mathematics” through high quality implementations of powerful learning technologies.
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Combining Expertise to Battle Zika
From its inception, SRI International was structured to encourage collaboration between scientists across disciplines. This approach has generated many groundbreaking discoveries and technologies over the years. Recently, SRI created and launched an internal competition for innovative, forward-thinking projects that leverage this successful, collaborative model while also furthering SRI’s mission to create world-changing solutions making people…
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Analyzing hyperspectral images into multiple subspaces using Guassian mixture models
I argue that the spectra in a hyperspectral datacube will usually lie in several low dimensional subspaces, and that these subspaces are more easily estimated from the data than the endmembers
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Trust in Content-Centric Networking: From Theory to Practice
We present the logical design of a trust engine for Information-Centric Networking (ICN) that is capable of efficiently and correctly verifying content integrity and authenticity.
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Improving early literacy in PreK–3: Lessons learned (August 2016)
The Pathway Schools Initiative aims to dramatically increase the number of students who reach the critical milestone of grade 3 reading proficiency, an indicator predictive of later academic outcomes and high school graduation.
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Evaluation of Rocketship Students’ Middle School Outcomes
Rocketship Education is a 501(c)(3) nonprofit corporation whose mission is to eliminate the achievement gap by building a scalable and sustainable school model that propels student achievement in underserved communities across the country.
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Feature Derivation for Exploitation of Distant Annotation via Pattern Induction against Dependency Parses
We consider the use of distant supervision for biological information extraction, and introduce two understudied corpora of this form, the Biological Expression Language (BEL) Large Corpus and the Pathway Logic (PL) Datum Corpus.
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Evaluation of World Bicycle Relief’s Bicycles for Educational Empowerment Program: South Africa Opportunity Study
The purpose of this “opportunity study” was to identify the opportunity that bicycles could offer to rural South African schoolchildren; the critical factors that support and hinder implementation; and suggestions for program improvement.