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JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
APSEC
2004
IEEE
13 years 11 months ago
Quality Improvements by Integrating Development Processes
Software is an increasing and important part of many products and systems. Software, hardware, and system level components have been developed and produced following separate proc...
Annita Persson Dahlqvist, Ivica Crnkovic, Ulf Askl...
ICSE
2007
IEEE-ACM
14 years 8 months ago
Parallel Randomized State-Space Search
Model checkers search the space of possible program behaviors to detect errors and to demonstrate their absence. Despite major advances in reduction and optimization techniques, s...
Matthew B. Dwyer, Sebastian G. Elbaum, Suzette Per...
BMCBI
2010
135views more  BMCBI 2010»
13 years 8 months ago
Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
Background: Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) is a proteomics tool for biomarker discovery and other high throughput applicatio...
Vincent A. Emanuele II, Brian M. Gurbaxani
RTSS
1999
IEEE
14 years 4 days ago
High-Level Modeling and Analysis of TCAS
In this paper, we demonstrate a high-level approach to modeling and analyzing complex safety-critical systems through a case study in the area of air traffic management. In partic...
Carolos Livadas, John Lygeros, Nancy A. Lynch