Personal Information
Entreprise/Lieu de travail
Trondheim Area, Norway Norway
Secteur d’activité
Education
Site Web
andresmasegosa.wix.com/homepage
À propos
I am a research fellow at NTNU (Norway) with broad interests in data mining and machine learning using probabilistic graphical models. Lately, my research has focused on scalable machine learning methods for solving real use cases in the financial (BCC group) and automotive industry (Daimler group). I am coauthor of more than 50 scientist papers in different journal and international conferences covering applied areas such as bioinformatics, information retrieval, crime prediction and sales forces allocation. I have been speaker in dozens of international conferences related to machine learning research over the last fifteen years. Recently, our team has been invited to present the AMIDST...
Mots-clés
imprecise probabilities
imprecise dirichlet model
bayesian networks
classification
interactive learning
supervised classification
uncertainty measures
decision trees
classification trees
credal sets
ensemble decision trees
information retrieval
credal decision trees
classification noise
information based uncertainty measures
uncertainty measures read more: http://www.world
imprecise classification
nonparametric predictive inference model
bayesian metrics
bayesian dirichlet metrics
selective gaussian naïve bayes
diffuse-large b-cell lymphoma
noisy observations
gene expression microarray
eqtl
hapmap
snp
variable selection
decision tree
semi-naive bayes
uncertainty
entropy
learning
bayesian
random forests
ensemble methods
diffuse large-b-cell lymphoma
features selection
selective naive bayes
query independent features
relevancy prediction
relevance prediction
highly agreed documents
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