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ICSNC
2007
IEEE
15 years 4 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
ICINCO
2004
127views Robotics» more  ICINCO 2004»
14 years 11 months ago
Moment-Linear Stochastic Systems
: We introduce a class of quasi-linear models for stochastic dynamics, called moment-linear stochastic systems (MLSS). We formulate MLSS and analyze their dynamics, as well as disc...
Sandip Roy, George C. Verghese, Bernard C. Lesieut...
PAMI
2008
161views more  PAMI 2008»
14 years 10 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
IASTEDSEA
2004
14 years 11 months ago
Engineering long-lived applications using MDA
Creating long-lived software systems requires a technology to build systems with good maintainability. One of the core ideas of the Model Driven Architecture (MDA) is to ease the ...
Tilman Seifert, Gerd Beneken, Niko Baehr
KBSE
1997
IEEE
15 years 2 months ago
NORA/HAMMR: Making Deduction-Based Software Component Retrieval Practical
Deduction-based software component retrieval uses preand postconditions as indexes and search keys and an automated theorem prover (ATP) to check whether a component matches. This...
Johann Schumann, Bernd Fischer 0002