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» Reasoning from Data Rather than Theory
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ICML
1999
IEEE
14 years 9 months ago
Abstracting from Robot Sensor Data using Hidden Markov Models
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
Laura Firoiu, Paul R. Cohen
SC
2009
ACM
14 years 3 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
CSL
2006
Springer
13 years 8 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
ATAL
2010
Springer
13 years 10 months ago
Modeling recursive reasoning by humans using empirically informed interactive POMDPs
Recursive reasoning of the form what do I think that you think that I think (and so on) arises often while acting rationally in multiagent settings. Several multiagent decision-ma...
Prashant Doshi, Xia Qu, Adam Goodie, Diana Young
GLOBECOM
2007
IEEE
14 years 3 months ago
A Frequency-Dependence Model for the Ultra-Wideband Channel Based on Propagation Events
— While the frequency-dependence of the wireless channel may be negligible for narrow to wideband signals, it has been shown that modeling this dependence for bandwidths in exces...
Camillo Gentile, Alfred Kik