Results 1 - 10 of 16,796

NEW SENSITIVITY-BASED METHODS FOR STRUCTURAL DAMAGE DIAGNOSIS BY LEAST SQUARE MINIMAL RESIDUAL TECHNIQUES

by A. R. Entezami, H. Shariatmadar
"... Abstract – This paper presents new sensitivity-based methods for detection of structural damage using incomplete noisy modal data. These methods are based on the first-order derivative of modal parameters. Changes of natural frequency do not usually provide spatial information on the structural dama ..."
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Abstract – This paper presents new sensitivity-based methods for detection of structural damage using incomplete noisy modal data. These methods are based on the first-order derivative of modal parameters. Changes of natural frequency do not usually provide spatial information on the structural

Voltage Stability Analysis comparing Generator Sensitivity based Method with V-Q Curve Method for Optimal Placement of STATCOM

by Neena Ramesh, B. V Sanker Ram, Vedam Subrahmanyam
"... This paper compares the coherent groups of load buses based on Reactive Reserve Margin (RRB) obtained from the V-Q curve analysis and a novel generator sensitivity based method for optimal placement of STATCOM. The V-Q curve is one of the popular methods to study voltage instability problems in powe ..."
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This paper compares the coherent groups of load buses based on Reactive Reserve Margin (RRB) obtained from the V-Q curve analysis and a novel generator sensitivity based method for optimal placement of STATCOM. The V-Q curve is one of the popular methods to study voltage instability problems

A sensitivity-based method for direct stochastic analysis of nonlinear forced response for bladed discs with friction interfaces,

by E P Petrov - Proc. of ASME Turbo Expo , 2007
"... ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
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Combining the best of both worlds -combination of homogenization and sensitivity based methods for shape optimization

by Peter M Clausen
"... Abstract The current paper describes a new method of combining sensitivity based shape optimization ..."
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Abstract The current paper describes a new method of combining sensitivity based shape optimization

Efficient Sensitivity-Based Capacitance Modeling for Systematic and Random Geometric Variations

by Yu Bi, P. Harpe, N. P. Van Der Meijs
"... Abstract — This paper presents a highly efficient sensitivity-based method for capacitance extraction, which models both sys-tematic and random geometric variations. This method is ap-plicable for BEM-based Layout Parasitic Extraction (LPE) tools. It is shown that, with only one system solve, the no ..."
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Abstract — This paper presents a highly efficient sensitivity-based method for capacitance extraction, which models both sys-tematic and random geometric variations. This method is ap-plicable for BEM-based Layout Parasitic Extraction (LPE) tools. It is shown that, with only one system solve

Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification

by Li-tze Hu, Peter M. Bentler - Psychological Methods , 1998
"... This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution. The effect of violating assumptions of asymptotic robustn ..."
Abstract - Cited by 543 (0 self) - Add to MetaCart
), and the ML- and GLS-based gamma hat, McDonald's centrality index (1989; Me), and root-mean-square error of approximation (RMSEA) were the most sensitive indices to models with misspecified factor loadings. With ML and GLS methods, we recommend the use of SRMR, supple-mented by TLI, BL89, RNI, CFI, gamma

Model-Based Analysis of Oligonucleotide Arrays: Model Validation, Design Issues and Standard Error Application

by Cheng Li, Wing Hung Wong , 2001
"... Background: A model-based analysis of oligonucleotide expression arrays we developed previously uses a probe-sensitivity index to capture the response characteristic of a specific probe pair and calculates model-based expression indexes (MBEI). MBEI has standard error attached to it as a measure of ..."
Abstract - Cited by 775 (28 self) - Add to MetaCart
Background: A model-based analysis of oligonucleotide expression arrays we developed previously uses a probe-sensitivity index to capture the response characteristic of a specific probe pair and calculates model-based expression indexes (MBEI). MBEI has standard error attached to it as a measure

Boosting and differential privacy

by Cynthia Dwork, Guy N. Rothblum, Salil Vadhan , 2010
"... Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are data structures that yield, for a given set Q of queries over an input database, reasonably accurate estimates of the resp ..."
Abstract - Cited by 648 (14 self) - Add to MetaCart
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are data structures that yield, for a given set Q of queries over an input database, reasonably accurate estimates

Object Detection with Discriminatively Trained Part Based Models

by Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester, Deva Ramanan
"... We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-of-the-art results in the PASCAL object detection challenges. While deformable part models have become quite popular, their ..."
Abstract - Cited by 1422 (49 self) - Add to MetaCart
, their value had not been demonstrated on difficult benchmarks such as the PASCAL datasets. Our system relies on new methods for discriminative training with partially labeled data. We combine a margin-sensitive approach for data-mining hard negative examples with a formalism we call latent SVM. A latent SVM

Verb Semantics And Lexical Selection

by Zhibiao Wu , 1994
"... ... structure. As Levin has addressed (Levin 1985), the decomposition of verbs is proposed for the purposes of accounting for systematic semantic-syntactic correspondences. This results in a series of problems for MT systems: inflexible verb sense definitions; difficulty in handling metaphor and new ..."
Abstract - Cited by 551 (4 self) - Add to MetaCart
and new usages; imprecise lexical selection and insufficient system coverage. It seems one approach is to apply probability methods and statistical models for some of these problems. However, the question reminds: has PSR exhausted the potential of the knowledge-based approach? If not, are there any
Results 1 - 10 of 16,796