New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
標簽： classification algorithm for training
上傳時間： 2014-12-20
上傳用戶：stvnash
Recognizing its importance is only the fist step to advocate invetion or innovation， and some effective measures should be taken for it. For one thing， our authority should continue to enlarge the recruit of graduate. For another， the conditions of scientists and skilled workers should be further improved. Only in this way， can “the soul of our nation” be fully embodied and our nation have a brighter future.
標簽： Recognizing importance innovation advocate
上傳時間： 2016-05-26
上傳用戶：水中浮云
The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.
標簽： independent kernel-ica implements algorithm
上傳時間： 2014-01-17
上傳用戶：yiwen213
Objectives The purpose of this notebook is to give you a brief introduction to the DiscreteWavelets Toolbox and show you how to use it to load images. Some basic image manipulation is illustrated as well. You will also learn how to use measures and tools such as cumulative energy, entropy, PSNR, and Huffman coding. Help on the DiscreteWavelets Toolbox Help for the toolbox is available by clicking on Help and then Product Help (or press F1) and then clicking on the DiscreteWavelets Toolbox. Several demos and examples are available as well by clicking on the Demos tab on the Help menu. Image Basics The DiscreteWavelets Toolbox comes with 18 grayscale images and 9 color images for you to use. There are three functions available to tell you more about these images. The first function is called |ImageList|. This function can tell you the names and sizes of the digital images in the Toolbox.
標簽： introduction DiscreteWav Objectives notebook
上傳時間： 2017-06-30
上傳用戶：康郎
This Simulink model simulates as an example the transmission and reception of random digital data modulated with GMSK. The purpose of this model is to illustrate how part of the GSM transmission and reception works. It also measures the BER, affected by an AWGN channel.
標簽： transmission simulates reception Simulink
上傳時間： 2017-07-28
上傳用戶：litianchu
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
n the first part of this book, we give an introduction to the basic applications of wireless com- munications, as well as the technical problems inherent in this communication paradigm. After a brief history of wireless, Chapter 1 describes the different types of wireless services, and works out their fundamental differences. The subsequent Section 1.3 looks at the same problem from a different angle: what data rates, ranges, etc., occur in practical systems, and especially, what combination of performance measures are demanded (e.g., what data rates need to be transmitted over short distances; what data rates are required over long distances?) Chapter 2 then describes the technical challenges of communicating without wires, putting special emphasis on fading and co-channel interference. Chapter 3 describes the most elementary problem of designing a wireless system, namely to set up a link budget in either a noise-limited or an interference-limited system. After studying this part of the book, the reader should have an overview of different types of wireless services, and understand the technical challenges involved in each of them. The solutions to those challenges are described in the later parts of this book.
標簽： Communications Wireless Edition 2nd
上傳時間： 2020-06-01
上傳用戶：shancjb
Why did an electricity market emerge? How does it really work? What are the perfor- mance measures that we can use to tell that the electricity market under consideration is well functioning? These are the questions that will be explored in this book. The main purpose of this book is to introduce the fundamental theories and concepts that underpintheelectricitymarketswhicharebasedonthreemajordisciplines:electrical power engineering, economics, and optimization methods.
標簽： Electricity Theories Markets
上傳時間： 2020-06-07
上傳用戶：shancjb
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza- tion techniques that use real - time measurements to minimize network losses, maintain voltage levels, increase reliability, and improve asset management. The operational data collected by the smart grid and its sub - systems will allow system operators to rapidly identify the best strategy to secure against attacks, vulnerability, and so on, caused by various contingencies. However, the smart grid fi rst depends upon identifying and researching key performance measures, designing and testing appropriate tools, and developing the proper education curriculum to equip current and future personnel with the knowledge and skills for deployment of this highly advanced system.
上傳時間： 2020-06-07
上傳用戶：shancjb
Current field forecast verification measures are inadequate, primarily because they compress the comparison between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to analysis and contemporaneous forecast fields prove to be an insightful approach to verification problems. DWTs allow both filtering and compact physically interpretable partitioning of fields. These techniques are used to reduce or eliminate noise in the verification process and develop multivariate measures of field forecasting performance that are shown to improve upon existing verification procedures.
標簽： field forecast verification
上傳時間： 2020-07-22
上傳用戶：
