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  • The book consists of three sections. The first, foundations, provides a tutorial overview of the pri

    The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.

    標簽: foundations The consists sections

    上傳時間: 2017-06-22

    上傳用戶:lps11188

  • Written for engineering and computer science students and practicing engineers, this book provides t

    Written for engineering and computer science students and practicing engineers, this book provides the fundamental applications and mathematical techniques of signal processing. Topics covered include programming in MATLAB, filters, networking, and parallel processing. MATLAB is introduced and used to solve numerous examples in the book. Companion software available In addition, a set of MATLAB M-files is available on a CD bound in the book.

    標簽: engineering practicing and engineers

    上傳時間: 2017-07-28

    上傳用戶:fandeshun

  • face detection Face detection can be regarded as a more general case of face localization In face

    face detection Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information. Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or left-right axis (out-of-plane rotation),or both.

    標簽: detection face localization regarded

    上傳時間: 2014-01-10

    上傳用戶:wfeel

  • As a general rule, PhD students and their supervisors tend to focus primarily, or even exclusively,

    As a general rule, PhD students and their supervisors tend to focus primarily, or even exclusively, on the content of the research that will go into the doctoral thesis. Other issues are often taken for granted: how to organize your work, give a presentation, work in a team, cope with your supervisor, and how to effectively manage your time.When asked, former PhD students usually claim that the general experience of being a graduate student, which includes learning how to solve complex problems and work well with others, was of greater value to their careers than the actual topic of their thesis.

    標簽: exclusively supervisors primarily students

    上傳時間: 2013-12-16

    上傳用戶:qlpqlq

  • Channel Equalization

    The working title of this book was Channel Equalization for Everyone. Channel equalization for everyone? Well, for high school students, channel equalization provides a simple, interesting example of how mathematics and physics can be used to solve real-world problems.

    標簽: Equalization Channel

    上傳時間: 2020-05-26

    上傳用戶:shancjb

  • Energy-Efficient Communication Processors

    Engineers are professional inventors, researchers, and developers. Education imbues each engineer with discipline-specific knowledge. Combining the different disciplines allows engineers to solve more complex problems.

    標簽: Energy-Efficient Communication Processors

    上傳時間: 2020-05-27

    上傳用戶:shancjb

  • Spectrum+Sharing+Between+Radars

    Radio frequency spectrum is a scarce and critical natural resource that is utilized for many services including surveillance, navigation, communication, and broadcast- ing. Recent years have seen tremendous growth in the use of spectrum especially by commercial cellular operators. Ubiquitous use of smartphones and tablets is one of the reasons behind an all-time high utilization of spectrum. As a result, cellular operators are experiencing a shortage of radio spectrum to meet bandwidth demands of users. On the other hand, spectrum measurements have shown that much spectrum not held by cellular operators is underutilized even in dense urban areas. This has motivated shared access to spectrum by secondary systems with no or minimal impact on incumbent systems. Spectrum sharing is a promising approach to solve the problem of spectrum congestion as it allows cellular operators access to more spectrum in order to satisfy the ever-growing bandwidth demands of commercial users.

    標簽: Spectrum Sharing Between Radars

    上傳時間: 2020-06-01

    上傳用戶:shancjb

  • Parallel Power Electronics Filters

    Power Electronics is one of modern and key technologies in Electrical and Electronics Engineering for green power, sustainable energy systems, and smart grids. Especially, the transformation of existing electric power systems into smart grids is currently a global trend. The gradual increase of distributed generators in smart grids indicates a wide and important role for power electronic converters in the electric power system, also with the increased use of power electronics devices (nonlinear loads) and motor loadings, low cost, low-loss and high-performance shunt current quality compensators are highly demanded by power customers to solve current quality problems caused by those loadings.

    標簽: Electronics Parallel Filters Power

    上傳時間: 2020-06-07

    上傳用戶:shancjb

  • Deep-Learning-with-PyTorch

    We’re living through exciting times. The landscape of what computers can do is changing by the week. Tasks that only a few years ago were thought to require higher cognition are getting solved by machines at near-superhuman levels of per- formance. Tasks such as describing a photographic image with a sentence in idiom- atic English, playing complex strategy game, and diagnosing a tumor from a radiological scan are all approachable now by a computer. Even more impressively, computers acquire the ability to solve such tasks through examples, rather than human-encoded of handcrafted rules.

    標簽: Deep-Learning-with-PyTorch

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Embeddings in Natural Language Processing

    Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design algorithms that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language Processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.

    標簽: Embeddings Processing Language Natural in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

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