Browsing FAS Scholarly Articles by Keyword "machine learning"
Now showing items 1-9 of 9
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Accurate Measurements of Pointing Performance from In Situ Observations
(Association for Computing Machinery, 2012)We present a method for obtaining lab-quality measurements of pointing performance from unobtrusive observations of natural in situ interactions. Specifically, we have developed a set of user-independent classifiers for ... -
AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning
(2016)While explanations may help people learn by providing information about why an answer is correct, many problems on online platforms lack high-quality explanations. This paper presents AXIS (Adaptive eXplanation Improvement ... -
Crowdsourcing the creation of image segmentation algorithms for connectomics
(Frontiers Media S.A., 2015)To stimulate progress in automating the reconstruction of neural circuits, we organized the first international challenge on 2D segmentation of electron microscopic (EM) images of the brain. Participants submitted boundary ... -
Diagnosis of iron deficiency anemia using density-based fractionation of red blood cells
(Royal Society of Chemistry (RSC), 2016)Iron deficiency anemia (IDA) is a nutritional disorder that impacts over one billion people worldwide, it causes permanent cognitive impairment in children, fatigue in adults, and suboptimal outcomes in pregnancy. IDA can ... -
An Economist's Perspective on Multi-Agent Learning
(Elsevier, 2007)We comment on the Shoham, Powers, and Grenager survey of multi-agent learning and game theory, emphasizing that some of their categories are important for economics and others are not. We also try to correct some minor ... -
Perceptual Annotation: Measuring Human Vision to Improve Computer Vision
(Institute of Electrical & Electronics Engineers (IEEE), 2014)For many problems in computer vision, human learners are considerably better than machines. Humans possess highly accurate internal recognition and learning mechanisms that are not yet understood, and they frequently have ... -
A Structured Deep Neural Network for Data Driven Localization in High Frequency Wireless Networks
(Academy and Industry Research Collaboration Center (AIRCC), 2017-05-30)Next-generation wireless networks such as 5G and 802.11ad networks will use millimeter waves operating at 28GHz, 38GHz, or higher frequencies to deliver unprecedentedly high data rates, e.g., 10 gigabits per second. However, ... -
Training Restricted Boltzmann Machines on Word Observations
(International Machine Learning Society, 2012)The restricted Boltzmann machine (RBM) is a flexible tool for modeling complex data, however there have been significant computational difficulties in using RBMs to model high-dimensional multinomial observations. In natural ... -
Using Ambulatory Voice Monitoring to Investigate Common Voice Disorders: Research Update
(Frontiers Media S.A., 2015)Many common voice disorders are chronic or recurring conditions that are likely to result from inefficient and/or abusive patterns of vocal behavior, referred to as vocal hyperfunction. The clinical management of hyperfunctional ...