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ICML
2006
IEEE
14 years 8 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
SIPS
2006
IEEE
14 years 1 months ago
A New Early Termination Scheme of Iterative Turbo Decoding Using Decoding Threshold
Although many stopping methods of iterative decoding have been discussed in the literatures extensively, many of them only focus on the solvable decoding. In this paper, we propos...
Fan-Min Li, Cheng-Hung Lin, An-Yeu Wu
AI
2006
Springer
13 years 7 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
BMCBI
2006
124views more  BMCBI 2006»
13 years 7 months ago
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
Background: It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genom...
Feng-Biao Guo, Chun-Ting Zhang
CODES
2006
IEEE
14 years 1 months ago
Integrated analysis of communicating tasks in MPSoCs
Predicting timing behavior is key to efficient embedded real-time system design and verification. Especially memory accesses and co-processor calls over shared communication net...
Simon Schliecker, Matthias Ivers, Rolf Ernst