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IJCAI
2001
15 years 7 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
KBS
2008
98views more  KBS 2008»
15 years 4 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
ATVA
2004
Springer
146views Hardware» more  ATVA 2004»
15 years 11 months ago
A Global Timed Bisimulation Preserving Abstraction for Parametric Time-Interval Automata
Timed Bisimulation Preserving Abstraction for Parametric Time-Interval Automata Akio Nakata, Tadaaki Tanimoto, Suguru Sasaki, Teruo Higashino Department of Information Networking, ...
Tadaaki Tanimoto, Suguru Sasaki, Akio Nakata, Teru...
FPGA
2004
ACM
121views FPGA» more  FPGA 2004»
15 years 11 months ago
Divide and concatenate: a scalable hardware architecture for universal MAC
We present a cryptographic architecture optimization technique called divide-and-concatenate based on two observations: (i) the area of a multiplier and associated data path decre...
Bo Yang, Ramesh Karri, David A. McGrew
GISCIENCE
2010
Springer
216views GIS» more  GISCIENCE 2010»
15 years 7 months ago
Cognitive Invariants of Geographic Event Conceptualization: What Matters and What Refines?
Behavioral experiments addressing the conceptualization of geographic events are few and far between. Our research seeks to address this deficiency by developing an experimental fr...
Alexander Klippel, Rui Li, Frank Hardisty, Chris W...