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1Active Learning in Heteroscedastic Noise
A. Antos, V. Grover, and {. Szepesvári. Theoretical Computer Science, 411 (29--30): 2712--2728 (June 2010)
5 years ago by @csaba
show all tags
regression,
algorithms,
learning,
sequential
active
theory
regression,algorithms,learning,sequentialactivetheory
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1Empirical Bernstein stopping
V. Mnih, {. Szepesvári, and J. Audibert. ICML, page 672--679. (2008)
5 years ago by @csaba
show all tags
racing
the
stopping
algorithms,
pick
problem,
sequential
winner,
Bernstein's
inequality,
theory
racingthestoppingalgorithms,pickproblem,sequentialwinner,Bernstein'sinequality,theory
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1Active learning in Multi-armed bandits
A. Antos, V. Grover, and {. Szepesvári. ALT, page 287--302. Springer-Verlag, (2008)See a.antos2010 for an extended version.
5 years ago by @csaba
show all tags
regression,
algorithms,
learning,
sequential
active
theory
regression,algorithms,learning,sequentialactivetheory
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2Distributed Channel Assignment in Multi-Radio 802.11 Mesh Networks
B. Ko, V. Misra, J. Padhye, and D. Rubenstein. Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE, (2007)
12 years ago by @chsivic
show all tags
LAN802.11
decision,
data
distributed
channel
forwarding
allocation,
network
networks
routing,
algorithms,
selection
network,
mechanism,
networks,
improved
wireless
assignment,
self-stabilizing
capacity,
multiradio
mesh
LAN802.11decision,datadistributedchannelforwardingallocation,networknetworksrouting,algorithms,selectionnetwork,mechanism,networks,improvedwirelessassignment,self-stabilizingcapacity,multiradiomesh
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1Time-window optimization for a constellation of earth observation satellite
C. Oberholzer. UNIVERSITY OF SOUTH AFRICA, (2009)
13 years ago by @baby9992006
show all tags
satellites,
annealing,
earth,
multiple,
optimization,
problem,
satellite,
time-windows,
simulated,
*file-import-12-02-06
time-window,
observation,
vehicle,
routing,
search,
algorithms,
metaheuristics,
of,
scheduling,
genetic,
tabu,
constellation,
satellites,annealing,earth,multiple,optimization,problem,satellite,time-windows,simulated,*file-import-12-02-06time-window,observation,vehicle,routing,search,algorithms,metaheuristics,of,scheduling,genetic,tabu,constellation,
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1Advanced significance analysis of microarray data based on weighted resampling: a comparative study and application to gene deletions in Mycobacterium bovis
Z. Kutalik, J. Inwald, S. Gordon, R. Hewinson, P. Butcher, J. Hinds, {. Cho, and O. Wolkenhauer. Bioinformatics (Oxford, England), 20 (3): 357--363 (February 2004)PMID: 14960462.
14 years ago by @ra1602
show all tags
Sample
Mycobacterium
Analysis,
Size,
Data
Sequence
Rostock
Deletion,
Statistical,
Variation,
Array
Sensitivity
Reproducibility
Expression
Models,
Profiling,
Bacterial,
Genome,
Results,
Genetic
Interpretation,
Genetic,
Specificity
Gene
bovis,
of
and
Algorithms,
SBI
Oligonucleotide
SampleMycobacteriumAnalysis,Size,DataSequenceRostockDeletion,Statistical,Variation,ArraySensitivityReproducibilityExpressionModels,Profiling,Bacterial,Genome,Results,GeneticInterpretation,Genetic,SpecificityGenebovis,ofandAlgorithms,SBIOligonucleotide
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1Termination of Ca$^2+$ release during Ca$^2+$ sparks in rat ventricular myocytes.
V. Lukyanenko, T. Wiesner, and S. Gyorke. J. Physiol., (March 1998)
16 years ago by @hake
show all tags
Xanthenes,
Calcium,
Channels,
Sprague-Dawley,
9508828
Support,
Rats,
Compounds,
Reticulum,
P.H.S.,
Reproducibility
Microscopy,
Models,
Ventricles,
Animals,
Heart
Results,
Calcium
Tacrolimus,
Sarcoplasmic
Gov't,
Research
Aniline
Cells,
Kinetics,
U.S.
Non-U.S.
Chemical,
of
Fluorescent
Algorithms,
Confocal,
Cultured,
Dyes,
Heart,
Xanthenes,Calcium,Channels,Sprague-Dawley,9508828Support,Rats,Compounds,Reticulum,P.H.S.,ReproducibilityMicroscopy,Models,Ventricles,Animals,HeartResults,CalciumTacrolimus,SarcoplasmicGov't,ResearchAnilineCells,Kinetics,U.S.Non-U.S.Chemical,ofFluorescentAlgorithms,Confocal,Cultured,Dyes,Heart,
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1The role of luminal Ca$^2+$ in the generation of Ca$^2+$ waves in rat ventricular myocytes.
V. Lukyanenko, S. Subramanian, I. Gyorke, T. Wiesner, and S. Gyorke. J. Physiol., (July 1999)
16 years ago by @hake
show all tags
Xanthenes,
Calcium,
Biological,
Cytosol,
Simulation,
Sprague-Dawley,
Support,
Nervous
Rats,
Lipid
Stimulants,
Compounds,
10373699
Reticulum,
P.H.S.,
ATPase,
Caffeine,
Microscopy,
Local,
Models,
Animals,
Anesthetics,
Myocardium,
Sarcoplasmic
-Transporting
Gov't,
Research
Central
Aniline
System
Electrophysiology,
U.S.
Thapsigargin,
Non-U.S.
Inhibitors,
Fluorescent
Algorithms,
Computer
Confocal,
Enzyme
{C}a$^{2+}$,
Bilayers,
Dyes,
Heart,
Xanthenes,Calcium,Biological,Cytosol,Simulation,Sprague-Dawley,Support,NervousRats,LipidStimulants,Compounds,10373699Reticulum,P.H.S.,ATPase,Caffeine,Microscopy,Local,Models,Animals,Anesthetics,Myocardium,Sarcoplasmic-TransportingGov't,ResearchCentralAnilineSystemElectrophysiology,U.S.Thapsigargin,Non-U.S.Inhibitors,FluorescentAlgorithms,ComputerConfocal,Enzyme{C}a$^{2+}$,Bilayers,Dyes,Heart,
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1Gathering statistics to aspectually classify sentences with a genetic algorithm
E. Siegel, and K. McKeown. Proceedings of the Second International Conference on New Methods in Language Processing, Bilkent University, Ankara, Turkey, (September 1996)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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1Competitively Evolving Decision Trees Against Fixed Training Cases for Natural Language Processing
E. Siegel. Advances in Genetic Programming, chapter 19, MIT Press, (1994)
17 years ago by @brazovayeye
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genetic
algorithms,
programming,
co-evolution
geneticalgorithms,programming,co-evolution
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2Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting
L. de Souza, A. Pozo, and A. Neto. 8th IEEE International Conference on Tools with Artificial Intelligence, ICTAI '06, page 26--32. Arlington, USA, IEEE, (November 2006)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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1Application of Genetic Programming to the Choice of a Structure of Multipoint Approximations
V. Toropov, and L. Alvarez. 1st ISSMO/NASA Internet Conf. on Approximations and Fast Reanalysis in Engineering Optimization, (June 1998)Published on a CD ROM.
17 years ago by @brazovayeye
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genetic
algorithms,
programming
geneticalgorithms,programming
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1Learning methods to combine linguistic indicators: improving aspectual classification and revealing linguistic insights
E. Siegel, and K. McKeown. Computational Linguistics, 26 (4): 595--628 (2000)
17 years ago by @brazovayeye
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genetic
algorithms,
programming
geneticalgorithms,programming
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1A Protocol for Double-Blind Evaluation of Prognostic Models
A. Taktak, L. Antolini, M. Aung, P. Boracchi, I. Campbell, B. Damato, E. Ifeachor, N. Lama, P. Lisboa, G. Manikis and 4 other author(s). Proceedings of the 2nd European Workshop on the Assessment of Diagnostic and Prognostic Performance, page 40--49. (2006)
17 years ago by @brazovayeye
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genetic
algorithms,
programming
geneticalgorithms,programming
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1The Tree-to-Tree Distance Problem in Inductive Genetic Programming
N. Nikolaev, and V. Slavov. Technical Report, TR 3-6-97. Computer Science, American University in Bulgaria, Bulgaria, (1997)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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1Multiobjective Optimization in Quantitative Structure-Activity Relationships: Deriving Accurate and Interpretable QSARs
O. Nicolotti, V. Gillet, P. Fleming, and D. Green. Journal of Medicinal Chemistry, 45 (23): 5069--5080 (November 2002)
17 years ago by @brazovayeye
show all tags
genetic
MOGP,
algorithms,
Criterion
QSAR,
cheminformatics,
programming,
Akaike
(AIC)
Information
MOGA,
GSK,
geneticMOGP,algorithms,CriterionQSAR,cheminformatics,programming,Akaike(AIC)InformationMOGA,GSK,
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1Genetically Optimizing the Speed of Programs Evolved to Play Tetris
E. Siegel, and A. Chaffee. Advances in Genetic Programming 2, chapter 14, MIT Press, Cambridge, MA, USA, (1996)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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4Emergent linguistic rules from inducing decision trees: disambiguating discourse clue words
E. Siegel, and K. McKeown. Proceedings of the Twelfth National Conference on Artificial Intelligence, Menlo Park, CA, USA, AAAI Press, (July 1994)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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2Application of Genetic Programming to the Choice of a Structure of Global Approximations
V. Toropov, and L. Alvarez. Genetic Programming 1998: Proceedings of the Third Annual Conference, page 387--390. University of Wisconsin, Madison, Wisconsin, USA, Morgan Kaufmann, (22-25 July 1998)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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1A GP neutral function for the artificial ANT problem
E. Ricalde, and K. Vázquez. Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2007), page 2565--2571. London, United Kingdom, ACM Press, (7-11 July 2007)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming,
neutrality
computation,
evolutionary
geneticalgorithms,programming,neutralitycomputation,evolutionary
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publications (hide)75 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

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publications (hide)75
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