نتایج جستجو برای: method validation

تعداد نتایج: 1764679  

2017
Rashedur Rahman Brigitte Grau Sophie Rosset

Relation extraction between entities from text plays an important role in information extraction and knowledge discovery related tasks. A relation validation method justifies a claimed relation based on the provided information. In this paper we propose a relation validation method with some linguistic and world knowledge-based graph features for validating a claimed relation. MOTS-CLÉS : Valid...

2015
Katsuhisa Ozaki Takeshi Ogita

This paper is concerned with accurate computations for matrix multiplication. An error-free transformation of matrix multiplication is developed by the authors. It transforms a product of two floatingpoint matrices to a sum of several floating-point matrices by using only floating-point arithmetic. This transformation is useful not only for accurate matrix multiplication but also for interval e...

2017
Mehri Khoshhali Sayed Mohsen Hosseini Mohammad Ali Nilforoushzadeh Fariba Jaffary Azadeh Zolfaghari Baghbaderani

BACKGROUND The present study was performed to develop a scoring system for predicting cure status in patients with cutaneous leishmaniasis (CL). MATERIALS AND METHODS This study included 199 patients with CL from Skin Diseases and Leishmaniasis Research Center (Isfahan, Iran). Data were collected as longitudinal in each visit of patients. We applied ordinal logistic generalized estimating equ...

2017
Clint Hansen Nasser Rezzoug Philippe Gorce Brice Isableu Gentiane Venture

By proposing efficient methods for estimating Body Segment Inertial Parameters' (BSIP) estimation and validating them with a force plate, it is possible to improve the inverse dynamic computations that are necessary in multiple research areas. Until today a variety of studies have been conducted to improve BSIP estimation but to our knowledge a real validation has never been completely successf...

Journal: :Forensic science international 2017
Didier Meuwly Daniel Ramos Rudolf Haraksim

This Guideline proposes a protocol for the validation of forensic evaluation methods at the source level, using the Likelihood Ratio framework as defined within the Bayes' inference model. In the context of the inference of identity of source, the Likelihood Ratio is used to evaluate the strength of the evidence for a trace specimen, e.g. a fingermark, and a reference specimen, e.g. a fingerpri...

2017
Daniele Antonio Di Pietro Daniele A. Di Pietro

In this work we propose a compact cell-centered Galerkin method with subgrid stabilization for anisotropic heterogeneous di usion problems on general meshes. Both essential theoretical results and numerical validation are provided.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علوم پایه دامغان 1389

in this thesis, ‎‎using‎‎ ‎concept‎s‎ ‎of‎ ‎wavelet‎s‎ ‎theory ‎‎‎som‎e‎ ‎methods‎‎ ‎of‎ ‎th‎e ‎solving‎‎ ‎optimal‎‎ ‎‎con‎tr‎ol‎ problems ‎(ocps)‎‎. ‎g‎overned by time-delay systems is investigated. ‎th‎is‎ thesis contains ‎tw‎o parts. ‎‎first, the method of obtaining ‎o‎f ‎the‎ ‎‎ocps‎ in time delay systems by linear legendre multiwavelets is ‎ ‎presented‎.‎‎‎‎ the main advantage of the meth...

2009
m. j. leunissen

In this research paper the validation process of the business model design of Myotel. A business model is viable if it creates value for all actors involved. The validation of the Myotel business model [1] showed that the business model as initially designed does not add value for all actors involved. However, the added value is influenced by a large number of cash flows which in the future cou...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2011
Hinnerk Feldwisch-Drentrup Andreas Schulze-Bonhage Jens Timmer Björn Schelter

The prediction of events is of substantial interest in many research areas. To evaluate the performance of prediction methods, the statistical validation of these methods is of utmost importance. Here, we compare an analytical validation method to numerical approaches that are based on Monte Carlo simulations. The comparison is performed in the field of the prediction of epileptic seizures. In ...

Journal: :CoRR 2018
Guy Tennenholtz Tom Zahavy Shie Mannor

Model selection on validation data is an essential step in machine learning. While the mixing of data between training and validation is considered taboo, practitioners often violate it to increase performance. Here, we offer a simple, practical method for using the validation set for training, which allows for a continuous, controlled trade-off between performance and overfitting of model sele...

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