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» Selectivity Estimation using Probabilistic Models
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DAC
2008
ACM
16 years 6 months ago
Functional test selection based on unsupervised support vector analysis
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
107
Voted
CMPB
2011
69views more  CMPB 2011»
14 years 12 months ago
Modelling acute renal failure using blood and breath biomarkers in rats
: This paper compares three methods for estimating renal function, tested in rats. Acute Renal Failure (ARF) was induced via a 60-minute bilateral renal artery clamp in 8 Sprague-D...
Katherine T. Moorhead, Jonathan V. Hill, J. Geoffr...
AAAI
2007
15 years 7 months ago
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dime...
Steven Reece, Stephen Roberts, Alex Rogers, Nichol...
149
Voted
NIPS
2001
15 years 6 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
AMIRE
2005
Springer
244views Robotics» more  AMIRE 2005»
15 years 10 months ago
Strategies using Facial Expressions and Gaze Behaviors for Animated Agents
This paper presents two strategies for selecting volitional facial expressions and gaze behaviors of animated agents, in the case of Online Negotiation and Soft Game Theory. It is ...
Masahide Yuasa