• Aucun résultat trouvé

To count

Learning to count: A deep learning framework for graphlet count estimation

Learning to count: A deep learning framework for graphlet count estimation

... graphlet count or GFD with high ...schema to estimate all 4-node ...framework to count 3, 4-node graphlets by the cost-aware task sampling with controllable ...framework to estimate ...

31

Using drones to count the elephants: a new approach of wildlife inventories

Using drones to count the elephants: a new approach of wildlife inventories

...  Lisein J, Linchant J, Lejeune P, Bouché P, Vermeulen C (accepted) Aerial surveys using an Unmanned Aerial System (UAS): comparison of different methods for estimating the sur[r] ...

20

Fitting the truncated negative binomial distribution to count data. A comparison of estimators, with an application to groundfishes
from the Mauritanian Exclusive Economic Zone

Fitting the truncated negative binomial distribution to count data. A comparison of estimators, with an application to groundfishes from the Mauritanian Exclusive Economic Zone

... Estimation to a large family of statistical disparities including the Hellinger ...ecient). To compare rst-order ecient estima- tors, Rao (1962) introduced second-order eciency and proved that in the ...

28

Designing a Software to Count the Body Composition and Somatotype and its Role in Pursing the Morphological State of Spotsmen

Designing a Software to Count the Body Composition and Somatotype and its Role in Pursing the Morphological State of Spotsmen

... Sports morphology is a science that is specialised in studying the changes of human body structure which occur under physical exercises ,The high performance of tained by athlets makes it necessary to evaluate ...

6

À L'ONU, LE SUD VEUT COMPTER [At the UN, the South wants to count]

À L'ONU, LE SUD VEUT COMPTER [At the UN, the South wants to count]

... Ces trois pays demandent offi- ciellement le 25 septembre 2003 une réforme des Nations Unies et des institutions multilatérales, justifiant leur attitude par le fait qu’ils [r] ...

2

How to Count Efficiently all Affine Roots of a Polynomial System

How to Count Efficiently all Affine Roots of a Polynomial System

... 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] ...

20

Performance in population models for count data, part II: a new SAEM algorithm.

Performance in population models for count data, part II: a new SAEM algorithm.

... identical to ones presented previously in the part I, where a single scenario was studied to evaluate performance of the algorithm with six different count data models, including Poisson (PS), ...

32

Core Count vs Cache Size for Manycore Architectures in the Cloud

Core Count vs Cache Size for Manycore Architectures in the Cloud

... core count to off-chip bandwidth disparity causes per-core memory bandwidth to decrease as process technology ...architects to rethink the optimal grain size of a core and the on-chip cache ...

15

The Dynamic Latent Block Model for Sparse and Evolving Count Matrices

The Dynamic Latent Block Model for Sparse and Evolving Count Matrices

... belonging to this time cluster, the users comment the product on an irregular basis and almost ...tendency to comment and buy products of the first column clusters whereas they do not consider at all ...

6

Discrete-time risk models based on time series for count random variables.

Discrete-time risk models based on time series for count random variables.

... due to De Finetti (1957), it is assumed that W = fW k ; k 2 N + g forms a sequence of ...bounds to the in…nite-time ruin probability in an extension to the model of Gerber (1982) with interest ...

28

DiscreteTS : two hidden-Markov models for time series of count data

DiscreteTS : two hidden-Markov models for time series of count data

... zeros. Pro eedings of ESANN 2012, 133-138 [4℄ Ridgway J. (2011). Hidden Markov models for time series of ount data. Rapport de stage [5℄ Hamilton J.D. (1989). A new approa h to the e onomi analysis of ...

3

The relative eosinophil count in breast cancer as an emerging prognostic biomarker

The relative eosinophil count in breast cancer as an emerging prognostic biomarker

... leads to non-specific and heterogeneous responses with a high number of false positivities in the face of a histological examination that shows a ...similar to each other in terms of predictivity of imaging ...

2

Opportunistic occupancy-count estimation using sensor fusion: a case study

Opportunistic occupancy-count estimation using sensor fusion: a case study

... For the publisher’s version, please access the DOI link below./ Pour consulter la version de l’éditeur, utilisez le lien DOI ci-dessous. https://doi.org/10.1016/j.buildenv.2019.05.032 Access and use of this website and ...

24

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis

... thanks to a spike-and-slab approach (Malsiner-Walli & Wagner, 2011) that is based on a two component sparsity-inducing prior on loadings (Titsias & L´ azaro-Gredilla, ...favorably to data dimension, ...

3

Jumps: Enhancing hop-count positioning in sensor networks using multiple coordinates

Jumps: Enhancing hop-count positioning in sensor networks using multiple coordinates

... difficult to obtain and often require dedicated equipment. An alternative to such approaches is to use sim- ple connectivity information, that is, the presence or absence of a link between any pair ...

31

Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system

Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system

... relation to other studies Despite the rising awareness of the importance of health information system evaluations, the authors could not find a similar evaluation to this one in the reviewed lit- ...

11

Spatial spillovers in France: a study on individual count data at the city level

Spatial spillovers in France: a study on individual count data at the city level

... are count data, characterised by non-negative integer numbers and an important number of ...used to take spatial auto-correlation into account are not anymore ...article to use a new original method ...

26

Improving Gross Count Gamma-Ray Logging in Uranium Mining With the NGRS Probe

Improving Gross Count Gamma-Ray Logging in Uranium Mining With the NGRS Probe

... total count rate provided by scintillation counters such as NaI(Tl) ...gross count gamma- ray logging [1], [2], requires a calibration coeff cient which is usually measured in the concrete blocks of ...

6

tabula: An R Package for Analysis, Seriation, and Visualization of Archaeological Count Data

tabula: An R Package for Analysis, Seriation, and Visualization of Archaeological Count Data

... The package uses a set of S4 classes for archaeological data matrices that extend the matrix data type. These new classes represent different specialized matrices: incidence, abundance, co-occurrence, and ...

4

Multi-scale variance stabilizing transform for multi-dimensional Poisson count image denoising

Multi-scale variance stabilizing transform for multi-dimensional Poisson count image denoising

... Fisz transform in order to not bias the comparison of estima- tors in favor of our approach. As revealed by this figure, all estimators perform com- paratively well at high intensity levels (image center). How- ...

5

Show all 10000 documents...

Sujets connexes