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TMI
2010
172views more  TMI 2010»
13 years 6 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
SRDS
2006
IEEE
14 years 2 months ago
Solving Consensus Using Structural Failure Models
Failure models characterise the expected component failures in fault-tolerant computing. In the context of distributed systems, a failure model usually consists of two parts: a fu...
Timo Warns, Felix C. Freiling, Wilhelm Hasselbring

Lecture Notes
742views
15 years 6 months ago
Computer Systems Analysis
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Raj Jain
HPCA
1998
IEEE
14 years 9 days ago
Speculative Versioning Cache
Dependences among loads and stores whose addresses are unknown hinder the extraction of instruction level parallelism during the execution of a sequential program. Such ambiguous ...
Sridhar Gopal, T. N. Vijaykumar, James E. Smith, G...
PDCN
2004
13 years 9 months ago
Speculative prefetching of optional locks in distributed systems
We present a family of methods for speeding up distributed locks by exploiting the uneven distribution of both temporal and spatial locality of access behaviour of many applicatio...
Thomas Schöbel-Theuer