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» Embedding Heterogeneous Data Using Statistical Models
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IOLTS
2005
IEEE
163views Hardware» more  IOLTS 2005»
15 years 8 months ago
Modeling Soft-Error Susceptibility for IP Blocks
As device geometries continue to shrink, single event upsets are becoming of concern to a wider spectrum of system designers. These “soft errors” can be a nuisance or catastro...
Robert C. Aitken, Betina Hold
UAI
1996
15 years 4 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
TASLP
2010
102views more  TASLP 2010»
15 years 1 months ago
Representing Musical Sounds With an Interpolating State Model
—A computationally efficient algorithm is proposed for modeling and representing time-varying musical sounds. The aim is to encode individual sounds and not the statistical prop...
Anssi Klapuri, Tuomas Virtanen
PADL
2009
Springer
16 years 3 months ago
Ad Hoc Data and the Token Ambiguity Problem
Abstract. PADS is a declarative language used to describe the syntax and semantic properties of ad hoc data sources such as financial transactions, server logs and scientific data ...
Qian Xi, Kathleen Fisher, David Walker, Kenny Qili...
BIB
2007
137views more  BIB 2007»
15 years 3 months ago
Current progress in network research: toward reference networks for key model organisms
The collection of multiple genome-scale datasets is now routine, and the frontier of research in systems biology has shifted accordingly. Rather than clustering a single dataset t...
Balaji S. Srinivasan, Nigam H. Shah, Jason Flannic...