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BMCBI
2007
105views more  BMCBI 2007»
14 years 10 months ago
Constrained hidden Markov models for population-based haplotyping
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Niels Landwehr, Taneli Mielikäinen, Lauri Ero...
MICCAI
2008
Springer
15 years 11 months ago
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitz...
ICCPOL
2009
Springer
15 years 4 months ago
Lexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
Abstract. We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical sourc...
Chung-Chi Huang, Wei-Teh Chen, Jason S. Chang
ICCS
2007
Springer
15 years 4 months ago
Enabling Very-Large Scale Earthquake Simulations on Parallel Machines
Abstract. The Southern California Earthquake Center initiated a major largescale earthquake simulation called TeraShake. The simulations propagated seismic waves across a domain of...
Yifeng Cui, Reagan Moore, Kim Olsen, Amit Chourasi...
VTS
2006
IEEE
108views Hardware» more  VTS 2006»
15 years 3 months ago
Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris