1
Published 2008
Table of Contents: ... Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization -- Detection of Protein...
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2
Published 2005
Table of Contents: ... of Large Image Datasets Using Non-linear Principal Components -- Classification by Instance-Based Learning...
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3
Published 2005
Table of Contents: ... Reasoning -- Learning to Optimize Plan Execution in Information Agents -- Cased-Based Reasoning by Human...
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4
Published 2008
Table of Contents: ... -- An Optimality Principle for Concurrent Systems -- Partial Order Hierarchical Reinforcement Learning -- Optimal...
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5
Published 2010
Table of Contents: ... Monotonic Logics -- Common Pitfalls in Ontology Development -- Machine Learning -- Obtaining Optimal Class...
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6
Published 2010
Table of Contents: ...-in Timing -- A New Approach to Construct Optimal Bow Tie Diagrams for Risk Analysis -- Machine Learning...
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7
Published 2005
Table of Contents: ... Optimization Algorithm for Adaptive Learning of Human Vocalization in Robotics -- Evolving Parameters...
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8
Published 2007
Table of Contents: ... -- On the Optimal Object-Oriented Program Re-modularization -- A Buffered-Mode MPI Implementation for the Cell BETM...
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9
Published 2006
Table of Contents: ... Pattern for the Development of Web-Based DVE Applications -- Optimal Parameterizations of Bézier Surfaces...
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10
Published 2010
Table of Contents: ...Microarrays -- Highlighting Differential Gene Expression between Two Condition Microarrays through...
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11
Published 2010
Table of Contents: ... -- Exploration, Visualization, and Preprocessing of High–Dimensional Data -- Statistical Methods for Microarray...
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12
Published 2011
Table of Contents: ... -- Microarrays -- Proteomics -- Sytems Biology -- Text/Data mining & AI Techniques....
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13
Published 2013
Table of Contents: ...Sequencing and Microarray -- Analysis -- Tools....
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14
Published 2006
Table of Contents: ... Proteomics Data -- NEC for Gene Expression Analysis -- Active Learning with Wavelets for Microarray Data...
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15
Published 2005
Table of Contents: ... and Learning Vector Quantization -- Solving Discriminant Models Using Interior Point Algorithm -- A Method...
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16
Published 2012
Table of Contents: ...-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity...
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17
Published 2008
Table of Contents: ... Integrated Microarray Data -- Using Data Mining for Dynamic Level Design in Games -- A Logic Programming...
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18
Published 2010
Table of Contents: ... Faulty Spots in cDNA Microarrays -- A First Machine Learning Approach to Pronominal Anaphora Resolution...
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19
Published 2010
Table of Contents: ...) -- Efficient Grid on the OTIS-Arrangment Network -- Single Thread Program Parallelism with Dataflow Abstracting...
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20
Published 2005
Table of Contents: ... -- Exploring Hierarchical Rule Systems in Parallel Coordinates -- Bayesian Networks Learning for Gene...
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