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JMLR
2008
230views more  JMLR 2008»
15 years 2 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...
KBSE
2007
IEEE
15 years 9 months ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies
138
Voted
ANOR
2010
130views more  ANOR 2010»
15 years 10 days ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
MOBIHOC
2008
ACM
16 years 2 months ago
Dynamic packet fragmentation for wireless channels with failures
It was shown recently [7?9], under quite general conditions, that retransmission-based protocols may result in power-law delays and possibly zero throughput even if the distributi...
Predrag R. Jelenkovic, Jian Tan
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
15 years 9 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky