about
Machine learning assisted design of highly active peptides for drug discoveryLearning a peptide-protein binding affinity predictor with kernel ridge regression.Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons.HIV-1 coreceptor usage prediction without multiple alignments: an application of string kernels.MHC-NP: predicting peptides naturally processed by the MHC.Interpretable genotype-to-phenotype classifiers with performance guaranteesPredicting Ion Mobility Collision Cross-Sections Using a Deep Neural Network: DeepCCSOn Learning µ-Perceptron Networks with Binary WeightsLearning Stochastic Perceptrons Under k-Blocking DistributionsMultilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov NetworksFrom PAC-Bayes Bounds to KL RegularizationA PAC-Bayes Risk Bound for General Loss FunctionsPAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs ClassifierA PAC-Bayes approach to the Set Covering MachinePAC-Bayes Learning of Conjunctions and Classification of Gene-Expression DataThe Decision List MachinePredicting Ion Mobility Collision Cross-Sections Using a Deep Neural Network: DeepCCS
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description
chercheur et professeur d'université
@fr
researcher and university professor
@en
wetenschapper
@nl
name
Mario Marchand
@en
Mario Marchand
@fr
Mario Marchand
@nl
type
label
Mario Marchand
@en
Mario Marchand
@fr
Mario Marchand
@nl
prefLabel
Mario Marchand
@en
Mario Marchand
@fr
Mario Marchand
@nl
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Mario_Marchand
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0000 0000 8459 0968
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nb2006016578
P31
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0000-0002-7078-7393
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1956-01-01T00:00:00Z
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mario-marchand-50460913
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lccn-nb2006016578