1
Table of Contents: ... Vector Machines and Application in DNA Microarray Analysis -- Semi-supervised Learning and Applications...
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2
Published 2005
Table of Contents: ... of Connectivity -- Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image...
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3
Published 2010
Table of Contents: ... Random Fields and Their Application to Intrusion Detection -- Generalized Derivative Based Kernelized...
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4
Published 2012
Table of Contents: ... for the Multi-sample Time-Course Microarray Experiments -- A Machine Learning Pipeline for Discriminant Pathways...
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5
Published 2008
Table of Contents: ... Microarray Experiments -- NAPX: A Polynomial Time Approximation Scheme for the Noah’s Ark Problem -- Minimum...
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6
Published 2012
Table of Contents: ... -- Learning Sparse Kernel Classifiers in the Primal -- EvolutionaryWeighted Mean Based Framework...
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7
Published 2010
Table of Contents: ... for Gene Selection in DNA Microarray Data Analysis -- Satrap: Data and Network Heterogeneity Aware P2P Data...
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8
Published 2010
Table of Contents: ... Speckle Noise for De-speckling 2D Ultrasound Images -- Face Recognition Using Kernel Fisher Linear...
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9
Published 2010
Table of Contents: ... Confidence-Interval Estimates -- Designing a Learning System Based on Voice Mail – A Case Study of English...
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10
Published 2006
Table of Contents: ... for Microarray Analysis -- A Relaxed Iterative Projection Algorithm for Rank-Deficient Regression Problems...
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11
by Abe, Shigeo., Abe, Shigeo.
Published 2010
Table of Contents: ... Vector Machines -- Training Methods -- Kernel-Based Methods Kernel@Kernel-based method -- Feature...
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12
by Sullivan, Rob., Sullivan, Rob.
Published 2012
Table of Contents: ... Learning Techniques -- Classification and Prediction -- Informatics -- Systems Biology -- Let’s Call it a...
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13
Published 2007
Table of Contents: ... Distributions -- Multiplicative Updates for L 1–Regularized Linear and Logistic Regression -- Learning to Align...
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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 2008
Table of Contents: ... Learning -- Improving Transductive Support Vector Machine by Ensembling -- Kernels Based on Distributions...
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16
Published 2015
Table of Contents: ...Neural Networks and Their Applications -- Parallel approach to the Levenberg-Marquardt learning...
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17
Published 2008
Table of Contents: ... One-Class Support Vector Classification -- A Multiple Kernel Learning Approach to Joint Multi-class...
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18
Published 2007
Table of Contents: ... Forecast Using GRID Middleware -- Multi-robot Cooperation Based on Hierarchical Reinforcement Learning...
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19
Published 2006
Table of Contents: ... -- Some Open Problem Sets for Generalized Blockmodeling -- Spectral Clustering and Multidimensional...
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20
Published 2005
Table of Contents: ... -- Learning Continuous Functions through a New Linear Regression Method -- A Novel Kernel Method...
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