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APIN
1999
107views more  APIN 1999»
13 years 9 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
APIN
2002
121views more  APIN 2002»
13 years 10 months ago
Applying Learning by Examples for Digital Design Automation
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
Ben Choi
ICIP
1999
IEEE
14 years 11 months ago
Integrating Stereo and Shape from Shading
This paper presents a new method for integrating di erent low level vision modules, stereo and shape from shading, in order to improve the 3D reconstruction of visible surfaces of...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
SIGCOMM
1997
ACM
14 years 2 months ago
Trace-Based Mobile Network Emulation
Subjecting a mobile computing system to wireless network conditions that are realistic yet reproducible is a challenging problem. In this paper, we describe a technique called tra...
Brian Noble, Mahadev Satyanarayanan, Giao Thanh Ng...
JSS
2008
317views more  JSS 2008»
13 years 10 months ago
Predicting defect-prone software modules using support vector machines
Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
Karim O. Elish, Mahmoud O. Elish