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BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
16 years 14 days ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
MDM
2004
Springer
15 years 11 months ago
Prediction-Based Strategies for Energy Saving in Object Tracking Sensor Networks
In order to fully realize the potential of sensor networks, energy awareness should be incorporated into every stage of the network design and operation. In this paper, we address...
Yingqi Xu, Julian Winter, Wang-Chien Lee
ICCD
1996
IEEE
145views Hardware» more  ICCD 1996»
15 years 10 months ago
Can Trace-Driven Simulators Accurately Predict Superscalar Performance?
There are four crucial issues associated with performance simulators: simulator retargetability, simulator validation, simulation speed and simulation accuracy. This paper documen...
Bryan Black, Andrew S. Huang, Mikko H. Lipasti, Jo...
AIPS
2008
15 years 8 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...
COLING
1996
15 years 7 months ago
Role of Word Sense Disambiguation in Lexical Acquisition: Predicting Semantics from Syntactic Cues
This paper addresses the issue of word-sense ambiguity in extraction from machine-readable resources for the construction of large-scale knowledge sources. We describe two experim...
Bonnie J. Dorr, Douglas A. Jones