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AIPS
2008
15 years 2 months ago
What Makes Planners Predictable?
In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...
ACL
2009
14 years 9 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
BMCBI
2005
126views more  BMCBI 2005»
14 years 11 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
88
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KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 9 days ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
CN
2004
148views more  CN 2004»
14 years 11 months ago
Multiway range trees: scalable IP lookup with fast updates
In this paper, we introduce a new IP lookup scheme with worst-case search and update time of O(log n), where n is the number of prefixes in the forwarding table. Our scheme is base...
Priyank Ramesh Warkhede, Subhash Suri, George Varg...