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ALMOB
2006
80views more  ALMOB 2006»
13 years 11 months ago
Pattern statistics on Markov chains and sensitivity to parameter estimation
Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
Grégory Nuel
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 5 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
TSE
2002
105views more  TSE 2002»
13 years 10 months ago
Disaggregating and Calibrating the CASE Tool Variable in COCOMO II
CASE (Computer Aided Software Engineering) tools are believed to have played a critical role in improving software productivity and quality by assisting tasks in software developme...
Jongmoon Baik, Barry W. Boehm, Bert Steece
PE
2002
Springer
176views Optimization» more  PE 2002»
13 years 10 months ago
Effective bandwidth estimation and testing for Markov sources
This work addresses the resource sharing problem in broadband communication networks that can guarantee some quality of service (QoS), and develops some results about data source ...
Juan Pechiar, Gonzalo Perera, María Simon
AAAI
2011
12 years 11 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei