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TIM
2010
144views Education» more  TIM 2010»
14 years 4 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
ICFP
2009
ACM
15 years 10 months ago
Causal commutative arrows and their optimization
re a popular form of abstract computation. Being more general than monads, they are more broadly applicable, and in parare a good abstraction for signal processing and dataflow co...
Hai Liu, Eric Cheng, Paul Hudak
CHI
2009
ACM
15 years 10 months ago
Values as lived experience: evolving value sensitive design in support of value discovery
The Value Sensitive Design (VSD) methodology provides a comprehensive framework for advancing a value-centered research and design agenda. Although VSD provides helpful ways of th...
Christopher A. Le Dantec, Erika Shehan Poole, Susa...
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
15 years 10 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
ICASSP
2008
IEEE
15 years 4 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...