[PDF] Top 20 Learning from positive and unlabeled examples in biology
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Learning from positive and unlabeled examples in biology
... Since learning what a disease gene is from just a few examples characterized by many features is difficult from a statistical point of view, it could be tempting to go beyond this set- ting ... Voir le document complet
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ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples
... element in U is then just the scored assigned to it by the classifier after ...implement and it has been shown that building a classifier that discriminates the positive from the ... Voir le document complet
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Authentic teaching and learning through synthetic biology
... the positive outcomes for biology by ...instrumental in developing and implementing the curricula described here. In particular, Drew Endy, Reshma Shetty and Neal Lerner have ... Voir le document complet
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A self–training method for learning to rank with with unlabeled data
... attention from the machine learn- ing and information filtering ...example, in In- formation Routing, the system receives a datastream and has to rank these examples according to ... Voir le document complet
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Partial Optimal Transport with Applications on Positive-Unlabeled Learning
... source and target distributions can be collected under distinct environments, representing different times of collection, contexts or measurements (see ...left and right). To get benefit from OT on ... Voir le document complet
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Regenerative and Positive Impact Architecture: Learning from Case Studies
... energy and embodied energy over 100 years for four case studies we could proof that the choice of building materials comes in the second place of importance and relevance after the operation ...NL) ... Voir le document complet
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Applications of machine learning in computational biology
... chapter In this chapter, we describe two novel methods to extract sets of drug chemical sub- structures and protein domains that govern drug-target ...profiles and protein domain profiles ...interest ... Voir le document complet
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Learning the cell cycle with a game: Virtual experiments in cell biology
... level in the sequence in order to identify activities whose complexity may be discrepant with the others within the same ...left in Figure 3 makes clear that activities #9 and #12 from ... Voir le document complet
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Kernel methods in genomics and computational biology
... Classification from Gene Expression Data The early detection of cancer and prediction of cancer types from gene expression data have been among the first applications of kernel methods in ... Voir le document complet
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Learning Lexicographic Preference Trees From Positive Examples
... (middle) and size (right) of learnt unpruned LP-trees ...clusters and the maximum number of attributes per node k. in a PAC setting since the experiments suggest that the rank- ing loss is inversely ... Voir le document complet
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Rethinking deep active learning: Using unlabeled data at model training
... Active learning typically focuses on training a model on few labeled examples alone, while unlabeled ones are only used for ...acquisition. In this work we depart from this set- ting by ... Voir le document complet
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Mining the Web for Lexical Knowledge to Improve Keyphase Extraction: Learning from Labeled and Unlabeled Data
... words and phrases that express the primary topics and themes of the ...familiar in the context of journal articles, but many other types of documents could benefit from the use of key- ... Voir le document complet
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Positive and unlabeled learning in categorical data
... the Positive Unlabeled (PU) learning task has been introduced ...PU learning is a binary classification task where no negative ex- amples are ...works in this area are devoted to the ... Voir le document complet
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A bagging SVM to learn from positive and unlabeled examples
... simulated and real ...PU learning to benefit from classifier aggregation through a random subsample ...K examples from the unlabeled examples, we can expect various ... Voir le document complet
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Agroecological practices in oil palm plantations: examples from the field
... oil and palm kernel oil represent more than one third of the vegetable oil market for only 6% 1 , 2 of the oil crops’ total production area ( Rival and Levang, 2013 ...costs and the great versatility ... Voir le document complet
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Neutral Spaces and Topological Explanations in Evolutionary Biology: Lessons from Some Landscapes and Mappings
... trality and topological explanations: these explanations appealing to neutral manifolds are not selectionist explanations, for neutral manifolds are de fined as subspaces where the biological difference makes no ... Voir le document complet
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From examples to knowledge in model-driven engineering : a holistic and pragmatic approach
... tedious and time-consuming effort by specially trained ...Nevertheless, in the recent years, much research work has been dedicated to learn MDE artifacts instead of writing them ...manually. In this ... Voir le document complet
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Biological invasions in agricultural settings: insights from evolutionary biology and population genetics
... virgifera and the European corn borer probably left several wild herbaceous hosts to adapt to ...moth and the potato blight probably all moved onto the cultivated potato from wild tuber-bearing ... Voir le document complet
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On Probabilities in Biology and Physics
... Probabilities and Probabilistic Reasoning in Classical Statistical Mechanics Hemmo and Shenker also criticize the application of the typicality approach in ...problem in the foundations ... Voir le document complet
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Terahertz sensing in biology and medicine
... but in non-biological conditions. On the other hand, studies in solution are more involved on the solvation of ...biomolecules. In solid state samples, spectroscopy of amino-acids was re- ported at ... Voir le document complet
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