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UAI
1996
15 years 8 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
ENTCS
2002
101views more  ENTCS 2002»
15 years 6 months ago
A categorical framework for typing CCS-style process communication
Category theory has proved a useful tool in the study of type systems for sequential programming languages. Various approaches have been proposed to use categorical models to exam...
Ralf Schweimeier
DAC
2006
ACM
16 years 8 months ago
Design automation for DNA self-assembled nanostructures
DNA self-assembly is an emerging technology with potential as a future replacement of conventional lithographic fabrication. A key challenge is the specification of appropriate DN...
Constantin Pistol, Alvin R. Lebeck, Chris Dwyer
CHI
2005
ACM
16 years 7 months ago
Profile before optimizing: a cognitive metrics approach to workload analysis
The Intelligence Analyst (IA) community will soon be the designated users of many new software tools. In the multitasking world of the IA, any one tool cannot be permitted to gree...
Wayne D. Gray, Michael J. Schoelles, Christopher W...
VLSID
2003
IEEE
180views VLSI» more  VLSID 2003»
16 years 7 months ago
Automating Formal Modular Verification of Asynchronous Real-Time Embedded Systems
Most verification tools and methodologies such as model checking, equivalence checking, hardware verification, software verification, and hardware-software coverification often fl...
Pao-Ann Hsiung, Shu-Yu Cheng