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- PhD in Machine Learning for Microarray Classification
- probabilistic error-correcting
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- Feature Selection by Transfer Learning with Linear Regularized Models
- grammatical multinomial
- Probabilistic Kullback-Leibler
- Expectation Propagation for Bayesian Multi-task Feature Selection
- Symmetry Breaking in Subgraph Pattern Matching Stephane Zampelli, Yves Deville, and Pierre Dupont
- Semi-supervised Classification from Discriminative Random Walks
- Proceedings of International Joint Conference on Neural Networks, Montreal, Canada, July 31 -August 4, 2005 0-7803-9048-2/05/$20.00 2005 IEEE
- Using symbol clustering to improve probabilistic automaton inference
- Local Vector-based Models for Sense Discrimination M.-C. de Marneffe, C. Archambeau, P. Dupont, M. Verleysen
- Incremental Regular Inference Pierre Dupont
- Bound-Consistent Deviation Constraint Pierre Schaus, Yves Deville, and Pierre Dupont
- Statistical introduction
- Utilisation et apprentissage de mod`eles de langage pour la reconnaissance de la parole
- Relevant subgraph mining The k-walk approach
- Learning Partially Observable Markov Models from First Passage Times
- Links between Probabilistic Automata and Hidden Markov Models
- Filtering for Subgraph Isomorphism Stephane Zampelli1
- The Deviation Constraint Pierre Schaus1
- Robust biomarker identification for cancer diagnosis using ensemble feature selection
- What is the search space of the regular inference ? \Lambda P. Dupont (1) , L. Miclet (1;2) and E. Vidal (3)
- Apprentissage et Evaluation de Mod`eles de Langage par des Tech niques de Correction d'Erreurs
- Regular Grammatical Inference from Positive and Negative Samples by Genetic Search
- CP(Graph): Introducing a Graph Computation Domain in Constraint Programming
- State-merging DFA induction algorithms with mandatory merge constraints
- Post-Doctoral Research Position Semi-supervised and On-line Learning Methods
- Grammatical Inference: formal and heuristic methods
- Interpolated Word and Class Bigram Models for Spanish Conversational Speech Recognition
- Entropie relative et algorithmes d'inf'erence grammaticale probabiliste
- Noisy Sequence Classification with Smoothed Markov Chains
- ISSN0249-6399 de recherche
- Inference of pathways from metabolic networks by subgraph extraction
- Improved smoothing for Probabilistic Suffix Trees seen as
- Two combinatorial optimization problems in machine learning
- EXPERIMENTAL COGNITIVE DISTRIBUTED ENGINE The goal of the ECODE project is to develop,
- The blessing of dimensionality for kernel methods Pierre Dupont
- Comparative study of statistical word sense discrimination techniques
- A Markovian Approach to the Induction of Regular String Distributions
- Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
- Biomarker Selection by Transfer Learning with Linear Regularized Models
- Classification in Graphs using Discriminative Random Walks Semi-supervised learning, large graphs, betweenness measure, passage times
- Semi-supervised Classification in Graphs using Bounded Random Semi-supervised learning, large graphs, betweenness measure, passage times
- Inference of pathways from metabolic networks
- Sequence Discrimination using Phase-type Distributions
- Noisy Sequence Classification with Smoothed Markov Chains
- IEEE TRANSACTIONS ON JOURNAL NAME, MANUSCRIPT ID 1 Generating Annotated Behavior Models
- Inducing Hidden Markov Models to Model Long-Term Dependencies
- Learning Hidden Markov Models to Fit Long-Term Dependencies
- Pattern Recognition 38 (2005) 13491371 www.elsevier.com/locate/patcog
- Separateurs `a Vaste Marge Optimisant la Fonction F
- A Markovian Approach to the Induction of Regular String Distributions
- Mlanges de Chanes de Markov lisses pour la dtection de domaines dans les protines
- Infrence d'automates et correction d'erreur pour la classification des protines
- Comparative study of statistical word sense discrimination techniques
- Simplification and extension of the SPREAD Pierre Schaus1
- A Mozart Implementation of CP(BioNet) Gregoire Dooms, Yves Deville, and Pierre Dupont
- Constrained path finding in biochemical networks Gregoire Dooms, Yves Deville, Pierre Dupont
- Biomarker selection from microarray data: a transfer learning approach
- Introduction Partially Supervised AROM Experiments Conclusions Feature Selection by Transfer Learning
- Introduction Partially Supervised AROM Experiments Conclusions Partially Supervised Feature Selection
- 1 10 100 1000 10000 100000 ATIS Training set : Unigram Frequency of Frequencies
- PhD in Machine Learning for Optimized Internet Location: University of Louvain, Louvain-la-Neuve, Belgium
- Recherche de chemins contraints dans les r-seaux biochimiques
- Links between Probabilistic Automata and Hidden Markov Models
- A Framework for the Competitive Evaluation of Model Inference Techniques
- Learning Hidden Markov Models to Fit Long-Term Dependencies
- Partially Supervised Feature Selection with Regularized Linear Models
- Statistical introduction
- Variance Estimators for t-Test Ranking Influence the Stability and Predictive Performance of Microarray Gene
- Ensemble Logistic Regression for Feature Selection
- Robust Multi-Class Gaussian Process Classification Daniel Hernandez-Lobato
- The stability of feature selection and class prediction from ensemble tree classifiers
- Abstract Submission for ESPGHAN Update 2012 Immunology including Food Allergy and Intolerance
- early stage of RA, and S100A12 was correlated to ESR, an inflammatory marker (Spear r 0.21; P 0.05).