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HIS
2003
15 years 8 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
EUROPAR
2001
Springer
15 years 11 months ago
Optimal Polling for Latency-Throughput Tradeoffs in Queue-Based Network Interfaces for Clusters
We consider a networking subsystem for message–passing clusters that uses two unidirectional queues for data transfers between the network interface card (NIC) and the lower prot...
Dmitry Ponomarev, Kanad Ghose, Eugeny Saksonov
ICPR
2000
IEEE
16 years 7 months ago
Image Representational Model for Predicting Visual Distinctness of Objects
Here we show that a notion of congruence in statistical structureacross2 0frequency bandsproduces a useful definition of visualpatterns for perceiving target distinctness. In orde...
J. Chamorro, Javier Martinez-Baena, Rosa Rodriguez...
CSDA
2007
106views more  CSDA 2007»
15 years 6 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
PROMISE
2010
15 years 1 months ago
Prediction of defect distribution based on project characteristics for proactive project management
As software has been pervasive and various software projects have been executed since the 1970s, software project management has played a significant role in software industry. Th...
Youngki Hong, Wondae Kim, Jeongsoo Joo