[PDF] Top 20 Learning from genomic data : efficient representations and algorithms.
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Learning from genomic data : efficient representations and algorithms.
... variations and alterations into pheno- typic predictions is however a difficult ...sequencers and microarrays measure more vari- ables than there are samples, which poses statis- tical ...The data is ... Voir le document complet
145
Learning from ranking data : theory and methods
... machine-learning algorithms generally rest upon the computation of statistical quantities such as averages or linear combina- tions of the observed features, representing efficiently the ...far from ... Voir le document complet
210
Building efficient algorithms by learning to compress
... practical algorithms for data ...hardware and tackling well-studied problems, it is still sometimes possible to obtain 10× im- provements or ...stack” from hardware capabilities to problem ... Voir le document complet
152
Prediction of subplastidial localization of chloroplast proteins from spectral count data - Comparison of machine learning algorithms
... tricks and matrix perturbation theory, which provides results similar to SVM, while providing several qualitative advantages (fewer parameter to tune, efficient with high number of classes, no risk of ... Voir le document complet
2
Learning possibilistic graphical models from data
... structure and a dataset, our parameters learning algorithm is efficient in term of quality and outperforms the existing ...structure learning algorithm, obtained results are not ... Voir le document complet
97
Progressive and Efficient Multi-Resolution Representations for Brain Tractograms
... features and topological relationships, have so far not been ex- plored to approximate large scale ...Zhang and Laidlaw propose to use a hierarchical clustering algorithm to progressively group together ... Voir le document complet
6
On Probability Distributions for Trees: Representations, Inference and Learning
... pings from trees to a semiring ...design learning algorithms for the whole class of probability distributions defined by rational tree ...that learning algorithms for rational tree se- ... Voir le document complet
4
Multipath streaming: fundamental limits and efficient algorithms
... bounds and/or approximations for the starvation probability of these ...independent and correlated. We deduce that the proposed policies are efficient since they approach the fundamental limits ... Voir le document complet
25
Data portraits : aesthetics and algorithms
... This thesis presents various data portraiture techniques that generate both individual and collective portraits of users participating in online social media.. The data used[r] ... Voir le document complet
93
Efficient and privacy-preserving compressive learning
... weaker and possibly probabilistic ...(PAC) learning [ 21 , Chapter ...1[ and any dataset 𝐗 made of at least 𝑛(𝜀, 𝛿) samples drawn i.i.d. from 𝜋, returns an hypothesis ̂ℎ whose excess risk ... Voir le document complet
261
Learning representations for Information Retrieval
... objects and processes in information retrieval ...spaces and probability is appealing. However, the methods that stem from this initial intuition provided only limited evidence about the usefulness ... Voir le document complet
159
Comparative analysis of two-dimensional data-driven efficient frontier estimation algorithms
... problem from a different ...real data of past system ...regression and others, they then estimate tech- nology performance as a function of prior ...simplicity, and in the abundance of ... Voir le document complet
7
Kernel-based learning on hierarchical image representations : applications to remote sensing data classification
... tree and path (sequence of nodes) struc- tures equipped with numerical features, called Bag of Subpaths Kernel ...paths and sin- gle ...nodes) and amount of data (train- ing ...nodes ... Voir le document complet
146
Learning corrections for hyperelastic models from data
... laws from data is seen as the ultimate sign of human ...machine learning community, some recent works have attempted to simply substitute physical laws by ...validity and usefulness is out of ... Voir le document complet
13
Efficient algorithms and implementation in exact linear algebra
... satisfactory from a practical ...overhead from the original time complexity; second, to provide a way to check if an implementation of an algorithm returns the desired ...truncated and the middle ... Voir le document complet
113
Regret Bounds for Learning State Representations in Reinforcement Learning
... of representations Φ, after T steps the regret of the Best Lower Bound (BLB) algorithm ...models and uses properties of UCRL2 [9] —an efficient algorithm for exploration- exploitation in ... Voir le document complet
12
Computational learning theory : new models and algorithms
... One limitation of the pac learning model is that certain learning problems are computationally intractable in that model. In that chapter we introduce a new model of[r] ... Voir le document complet
120
ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms
... part and the problem-specific part of ...code and design can directly be reused in order to redo as little code as ...methods and the problem to be solved. Object-oriented design and ... Voir le document complet
40
Efficient Matching Algorithms for Publish and Subscribe Systems
... Unité de recherche INRIA Rocquencourt Domaine de Voluceau - Rocquencourt - BP 105 - 78153 Le Chesnay Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois -[r] ... Voir le document complet
34
Efficient and Practical Algorithms for Sequential Modular Decomposition
... Unité de recherche INRIA Lorraine, Technopôle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LÈS NANCY Unité de recherche INRIA Rennes, Irisa, [r] ... Voir le document complet
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