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TSMC
2010
8 years 6 months ago
Uncertainty Evaluation Through Mapping Identification in Intensive Dynamic Simulations
We study how the dependence of a simulation output on an uncertain parameter can be determined, when simulations are computationally expensive and so can only be run for very few p...
Yan Wan, Sandip Roy, Bernard C. Lesieutre
ASC
2011
8 years 7 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
PVLDB
2008
118views more  PVLDB 2008»
8 years 11 months ago
Efficient top-k processing over query-dependent functions
We study the efficient evaluation of top-k queries over data items, where the score of each item is dynamically computed by applying an item-specific function whose parameter valu...
Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jay...
SIGPRO
2002
92views more  SIGPRO 2002»
8 years 11 months ago
A unified method for optimizing linear image restoration filters
Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
Masashi Sugiyama, Hidemitsu Ogawa
TCBB
2008
120views more  TCBB 2008»
8 years 12 months ago
Learning Scoring Schemes for Sequence Alignment from Partial Examples
When aligning biological sequences, the choice of scoring scheme is critical. Even small changes in gap penalties, for example, can yield radically different alignments. A rigorous...
Eagu Kim, John D. Kececioglu
WCE
2007
9 years 1 months ago
Gene Selection for Tumor Classification Using Microarray Gene Expression Data
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...
IJCAI
1989
9 years 1 months ago
Reasoning About Assumptions in Graphs of Models
Solving design and analysis problems in physical worlds requires the representatio n of large amounts of knowledge. Recently, there has been much interest in explicitly making ass...
Sanjaya Addanki, Roberto Cremonini, J. Scott Penbe...
DAGSTUHL
2004
9 years 1 months ago
Benefits of Subjunctive Interface Support for Exploratory Access to Online Resources
Abstract. When exploring online resources, users often make many separate retrievals
Aran Lunzer
AIPS
2004
9 years 1 months ago
Statistical Goal Parameter Recognition
We present components of a system which uses statistical, corpus-based machine learning techniques to perform instantiated goal recognition -- recognition of both a goal schema an...
Nate Blaylock, James F. Allen
CAINE
2007
9 years 1 months ago
Parameter Estimation via Analysis of Fuzzy Clusters (PEAF): An Algorithm to Estimate Parameters of Agent-Based Models
Biologically focused, agent-based models need many parameters in order to simulate system dynamics. It is often essential to explore the consequences of many parameter vectors bef...
Shahab Sheikh-Bahaei, C. Anthony Hunt
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