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EMNLP
2011
12 years 7 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
AINA
2009
IEEE
14 years 2 months ago
TopDNS: Experiences Building Internet-Based Topologies with GNP
Building realistic Internet topologies is an important step towards predicting the behavior of new distributed applications and protocols. We are creating topologies that predict ...
Gert Pfeifer, Christof Fetzer
ACL
2009
13 years 5 months ago
Automatic sense prediction for implicit discourse relations in text
We present a series of experiments on automatically identifying the sense of implicit discourse relations, i.e. relations that are not marked with a discourse connective such as &...
Emily Pitler, Annie Louis, Ani Nenkova
BMCBI
2011
12 years 11 months ago
HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods
Background: Although homology-based methods are among the most widely used methods for predicting the structure and function of proteins, the question as to whether interface sequ...
Li C. Xue, Drena Dobbs, Vasant Honavar
TON
2010
167views more  TON 2010»
13 years 2 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...