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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(biāo)簽：
foundations
The
consists
sections
上傳時(shí)間：
2017-06-22
上傳用戶：lps11188
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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(biāo)簽：
engineering
practicing
and
engineers
上傳時(shí)間：
2017-07-28
上傳用戶：fandeshun
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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(biāo)簽：
detection
face
localization
regarded
上傳時(shí)間：
2014-01-10
上傳用戶：wfeel
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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(biāo)簽：
exclusively
supervisors
primarily
students
上傳時(shí)間：
2013-12-16
上傳用戶：qlpqlq
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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(biāo)簽：
Equalization
Channel
上傳時(shí)間：
2020-05-26
上傳用戶：shancjb
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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(biāo)簽：
Energy-Efficient
Communication
Processors
上傳時(shí)間：
2020-05-27
上傳用戶：shancjb
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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(biāo)簽：
Spectrum
Sharing
Between
Radars
上傳時(shí)間：
2020-06-01
上傳用戶：shancjb
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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(biāo)簽：
Electronics
Parallel
Filters
Power
上傳時(shí)間：
2020-06-07
上傳用戶：shancjb
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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(biāo)簽：
Deep-Learning-with-PyTorch
上傳時(shí)間：
2020-06-10
上傳用戶：shancjb
-
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(biāo)簽：
Embeddings
Processing
Language
Natural
in
上傳時(shí)間：
2020-06-10
上傳用戶：shancjb
