Xem 1-20 trên 23 kết quả Gradient analysis
• ### Multivariate Analysis of Ecological Data

This textbook provides study materials for the participants of the course named Multivariate Analysis of Ecological Data that we teach at our university for the third year. Material provided here should serve both for the introductory and the advanced versions of the course. We admit that some parts of the text would profit from further polishing, they are quite rough but we hope in further improvement of this text.

• ### True optimization of pavement maintenance options using what if models: an application of gradient search methods with HDM-4

What-if models of pavement management analysis such as RTIM, HERS and HDM-4 predict the consequences of different maintenance options to be tested that are specified exogenously. Therefore, although they are often used to “optimize” maintenance options, they are not optimizing them in its true sense; they are merely used to find the best options among those tested. Since there are usually infinite numbers of options, it is impossible to exhaust all of them and only suboptimal optimizers are found.

• ### Bài 3: Gradients and Optimization Methods

The main task in the independent component analysis (ICA) problem, formulated in Chapter 1, is to estimate a separating matrix that will give us the independent components. It also became clear that cannot generally be solved in closed form, that is, we cannot write it as some function of the sample or training set, whose value could be directly evaluated. Instead, the solution method is based on cost functions, also called objective functions or contrast functions. Solutions to ICA are found at the minima or maxima of these functions....

• ### Independent component analysis P3

Gradients and Optimization Methods The main task in the independent component analysis (ICA) problem, formulated in Chapter 1, is to estimate a separating matrix that will give us the independent components. It also became clear that cannot generally be solved in closed form, that is, we cannot write it as some function of the sample or training set, whose value could be directly evaluated. Instead, the solution method is based on cost functions, also called objective functions or contrast functions. Solutions to ICA are found at the minima or maxima of these functions.

• ### Aircraft Design: Synthesis and Analysis - part 10

Từ dữ liệu này, trọng lượng tối đa cho phép đối với một điều kiện nhất định được thành lập. Leo lên leo lên hoạt động bình thường đến độ cao hành trình được thực hiện tại tốc độ cho nền kinh tế tổng thể tốt nhất (tốc độ cao lên cao) nhanh hơn đáng kể so với tốc độ tốc độ tối đa lên cao, lần lượt là nhanh hơn nhiều so với tốc độ lên cao tối đa cho gradient .

• ### MILESTONES IN MATRIX COMPUTATION: SELECTED WORKS OF GENE H. GOLUB, WITH COMMENTARIES

At a meeting in Moscow in June 2005, Gil Strang suggested that there be a collection of Gene Golub's work to highlight his many important contributions to numerical analysis. The three of us were honored to undertake this pleasant task, with publication timed for February "29", 2007, the 75th anniversary of Gene's birth. Gene chose 21 papers to include here, and we are grateful to the publishers for permission to reprint these works. We asked each of the coauthors to write about how the paper came to be written.

• ### Lecture Machine learning (2014-2015) - Lecture 6: Logistic regression: a simple ANN

This lecture describes the construction of binary classifiers using a technique called Logistic Regression. The objective is for you to learn: How to apply logistic regression to discriminate between two classes; how to formulate the logistic regression likelihood; how to derive the gradient and Hessian of logistic regression; how to incorporate the gradient vector and Hessian matrix into Newton’s optimization algorithm so as to come up with an algorithm for logistic regression, which we call IRLS.

• ### Báo cáo khoa học: NEMO oligomerization in the dynamic assembly of the IjB kinase core complex

NF-jB essential modulator (NEMO) plays an essential role in the nuclear factor jB (NF-jB) pathway as a modulator of the two other subunits of the IjB kinase (IKK) complex, i.e. the protein kinases, IKKa and IKKb. Previous reports all envision the IKK complex to be a static entity. Using glycerol-gradient ultracentrifugation, we observed stimulus-dependent dynamic IKK complex assembly.

• ### Optimal maintenance strategies for bituminous pavements: A case study in Vietnam using HDM-4 with gradient methods

The paper presents a systematic approach to find optimal maintenance strategies for pavement management systems by using the World Bank’s Highway Development and Management System (HDM-4) combined with gradient methods proposed by Tsunokawa et al (2005). The optimal maintenance strategy is defined as the set of optimal maintenance options corresponding to different traffic levels and various initial pavement conditions, which minimizes the sum of agency costs and road user costs in present value or maximizes the net benefit to society over an analysis period.

• ### Lecture Machine learning (2014-2015) - Lecture 5: Optimisation

Many machine learning problems can be cast as optimization problems. This lecture introduces optimization. The objective is for you to learn: The definitions of gradient and Hessian; the gradient descent algorithm; Newton’s algorithm; stochastic gradient descent (SGD) for online learning; popular variants, such as AdaGrad and Asynchronous SGD;...

• ### Lecture Adaptive filtering - Theory and applications

Lecture Adaptive filtering - Theory and applications has contents: Adaptive filtering applications, adaptive filtering principles, iterative solutions for the optimum filtering problem, stochastic gradient algorithms, deterministic algorithms, analysis.

• ### Báo cáo y học: "Immobilized pH gradient-driven paper-based IEF: a new method for fractionating complex peptide mixtures before MS analysis"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Immobilized pH gradient-driven paper-based IEF: a new method for fractionating complex peptide mixtures before MS analysis...

• ### Báo cáo khoa hoc : Multidrug resistance proteins (MRPs⁄ABCCs) in cancer chemotherapy and genetic diseases

The ATP-binding cassette (ABC) transporters are a superfamily of mem-brane proteins that are best known for their ability to transport a wide variety of exogenous and endogenous substances across membranes against a concentration gradient via ATP hydrolysis.

• ### Lecture Algorithm design - Chapter 12: Local search

Lecture Algorithm design - Chapter 12: Local search include all of the content: Gradient descent, metropolis algorithm, hopfield neural networks, maximum cut, nash equilibria. Inviting you refer.

• ### Lecture Machine learning (2014-2015) - Lecture 11: Recurrent nets and LSTM

This lecture introduces you sequence models. The goal is for you to learn about: Recurrent neural networks, the vanishing and exploding gradients problem, long-short term memory (LSTM) networks, applications of LSTM networks.

• ### The algorithms for neutron pulse detection with scintillation detector

The results show that the figure of merits (FOM) of rise-time discrimination method, pulsed gradient analysis method, charge comparison method, and correlation pattern method are 1.09, 0.66, 2.21 and 1.97, respectively.

• ### Mạng thần kinh thường xuyên cho dự đoán P9

A Class of Normalised Algorithms for Online Training of Recurrent Neural Networks A normalised version of the real-time recurrent learning (RTRL) algorithm is introduced. This has been achieved via local linearisation of the RTRL around the current point in the state space of the network. Such an algorithm provides an adaptive learning rate normalised by the L2 norm of the gradient vector at the output neuron. The analysis is general and also covers simpler cases of feedforward networks and linear FIR ﬁlters...

• ### Digital Signal Processing Handbook P20

Motivation and Example Adaptive Filter Structure Performance and Robustness Issues Error and Energy Measures Robust Adaptive Filtering Energy Bounds and Passivity Relations Min-Max Optimality of Adaptive Gradient Algorithms Comparison of LMS and RLS Algorithms Time-Domain Feedback Analysis Ali H. Sayed University of California, Los Angeles Markus Rupp Bell Laboratories Lucent Technologies Time-Domain Analysis • l2 −Stability and the Small Gain Condition • Energy Propagation in the Feedback Cascade • A Deterministic Convergence Analysis 20.10Filtered-Error Gradient Algorithms 20.

• ### Báo cáo khoa học: Role of gangliosides in the association of ErbB2 with lipid rafts in mammary epithelial HC11 cells

We analyzed the role of gangliosides in the association of the ErbB2 recep-tor tyrosine-kinase (RTK) with lipid rafts in mammary epithelial HC11 cells. Scanning confocal microscopy experiments revealed a strict ErbB2– GM3 colocalization in wild-type cells. In addition, analysis of membrane fractions obtained using a linear sucrose gradient showed that ErbB2, epi-