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» Optimization on Support Vector Machines
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122
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TON
2010
167views more  TON 2010»
14 years 5 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
PLDI
1995
ACM
15 years 2 months ago
EEL: Machine-Independent Executable Editing
EEL (Executable Editing Library) is a library for building tools to analyze and modify an executable (compiled) program. The systems and languages communities have built many tool...
James R. Larus, Eric Schnarr
99
Voted
COLING
2008
15 years 10 days ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He
ICAS
2006
IEEE
140views Robotics» more  ICAS 2006»
15 years 5 months ago
Control System Framework for Autonomous Robots Based on Extended State Machines
We present a new framework optimized for the design, implementation, and testing of control systems for autonomous robots. It is based on a new visual specification language whic...
Torsten Merz, Piotr Rudol, Mariusz Wzorek
108
Voted
ICMLA
2010
14 years 8 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi