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The classic high-level walk from Irish Sea to North Sea Originally
devised by the legendary Alfred Wainwright, the Coast-to-Coast Walk
has steadily become one of Britain' s most popular long-distance
walks, and it is not hard to see why. Planned to seek out the most
spectacular high ground across the country, it takes you from the
sea in the west to the sea in the east via three of England' s
loveliest National Parks: the Lake District, the Yorkshire Dales
and the North York Moors. Its 192 miles, from the quiet Cumbrian
village of St Bees to Robin Hood' s Bay, are a substantial test of
endurance that will take even a fit walker a fortnight to
accomplish, but also a wonderfully varying walk, from sea cliffs to
craggy mountains and lakes, then across rolling dales and finally
heather moorland. For everyone who reaches Wainwright' s Bar at
journey' s end on the North Yorkshire coast it will have been the
walk of a lifetime.
Discover New Methods for Dealing with High-Dimensional Data A
sparse statistical model has only a small number of nonzero
parameters or weights; therefore, it is much easier to estimate and
interpret than a dense model. Statistical Learning with Sparsity:
The Lasso and Generalizations presents methods that exploit
sparsity to help recover the underlying signal in a set of data.
Top experts in this rapidly evolving field, the authors describe
the lasso for linear regression and a simple coordinate descent
algorithm for its computation. They discuss the application of 1
penalties to generalized linear models and support vector machines,
cover generalized penalties such as the elastic net and group
lasso, and review numerical methods for optimization. They also
present statistical inference methods for fitted (lasso) models,
including the bootstrap, Bayesian methods, and recently developed
approaches. In addition, the book examines matrix decomposition,
sparse multivariate analysis, graphical models, and compressed
sensing. It concludes with a survey of theoretical results for the
lasso. In this age of big data, the number of features measured on
a person or object can be large and might be larger than the number
of observations. This book shows how the sparsity assumption allows
us to tackle these problems and extract useful and reproducible
patterns from big datasets. Data analysts, computer scientists, and
theorists will appreciate this thorough and up-to-date treatment of
sparse statistical modeling.
A charming guide to the story of the English village, celebrating
this beloved heart of the countryside. The village remains a
quintessential and much-loved treasure that is often representative
of England. This rural idyll has inspired generations of great
poets, novelists and artists including the likes of Constable,
Hardy and Wordsworth. The English Village champions all that is
unique and loved about a typical village - the pub, the green, the
school, the church, the pond, the local shop and more - as well as
exploring how the village has changed over the centuries, and how
it has adjusted to modern-day life. A fascinating compendium of
interesting details, facts, customs and lore, this is an unabashed
toast to the English village, as well as a record of a disappearing
world.
A graphical model is a statistical model that is represented by a
graph. The factorization properties underlying graphical models
facilitate tractable computation with multivariate distributions,
making the models a valuable tool with a plethora of applications.
Furthermore, directed graphical models allow intuitive causal
interpretations and have become a cornerstone for causal inference.
While there exist a number of excellent books on graphical models,
the field has grown so much that individual authors can hardly
cover its entire scope. Moreover, the field is interdisciplinary by
nature. Through chapters by leading researchers from different
areas, this handbook provides a broad and accessible overview of
the state of the art. Features: Contributions by leading
researchers from a range of disciplines Structured in five parts,
covering foundations, computational aspects, statistical inference,
causal inference, and applications Balanced coverage of concepts,
theory, methods, examples, and applications Chapters can be read
mostly independently, while cross-references highlight connections
The handbook is targeted at a wide audience, including graduate
students, applied researchers, and experts in graphical models.
Discover New Methods for Dealing with High-Dimensional Data A
sparse statistical model has only a small number of nonzero
parameters or weights; therefore, it is much easier to estimate and
interpret than a dense model. Statistical Learning with Sparsity:
The Lasso and Generalizations presents methods that exploit
sparsity to help recover the underlying signal in a set of data.
Top experts in this rapidly evolving field, the authors describe
the lasso for linear regression and a simple coordinate descent
algorithm for its computation. They discuss the application of 1
penalties to generalized linear models and support vector machines,
cover generalized penalties such as the elastic net and group
lasso, and review numerical methods for optimization. They also
present statistical inference methods for fitted (lasso) models,
including the bootstrap, Bayesian methods, and recently developed
approaches. In addition, the book examines matrix decomposition,
sparse multivariate analysis, graphical models, and compressed
sensing. It concludes with a survey of theoretical results for the
lasso. In this age of big data, the number of features measured on
a person or object can be large and might be larger than the number
of observations. This book shows how the sparsity assumption allows
us to tackle these problems and extract useful and reproducible
patterns from big datasets. Data analysts, computer scientists, and
theorists will appreciate this thorough and up-to-date treatment of
sparse statistical modeling.
A graphical model is a statistical model that is represented by a
graph. The factorization properties underlying graphical models
facilitate tractable computation with multivariate distributions,
making the models a valuable tool with a plethora of applications.
Furthermore, directed graphical models allow intuitive causal
interpretations and have become a cornerstone for causal inference.
While there exist a number of excellent books on graphical models,
the field has grown so much that individual authors can hardly
cover its entire scope. Moreover, the field is interdisciplinary by
nature. Through chapters by leading researchers from different
areas, this handbook provides a broad and accessible overview of
the state of the art. Key features: * Contributions by leading
researchers from a range of disciplines * Structured in five parts,
covering foundations, computational aspects, statistical inference,
causal inference, and applications * Balanced coverage of concepts,
theory, methods, examples, and applications * Chapters can be read
mostly independently, while cross-references highlight connections
The handbook is targeted at a wide audience, including graduate
students, applied researchers, and experts in graphical models.
Virtual History examines many of the most popular historical video
games released over the last decade and explores their portrayal of
history. The book looks at the motives and perspectives of game
designers and marketers, as well as the societal expectations
addressed, through contingency and determinism, economics, the
environment, culture, ethnicity, gender, and violence. Approaching
videogames as a compelling art form that can simultaneously inform
and mislead, the book considers the historical accuracy of
videogames, while also exploring how they depict the underlying
processes of history and highlighting their strengths as tools for
understanding history. The first survey of the historical content
and approach of popular videogames designed with students in mind,
it argues that games can depict history and engage players with it
in a useful way, encouraging the reader to consider the games they
play from a different perspective. Supported by examples and
screenshots that contextualize the discussion, Virtual History is a
useful resource for students of media and world history as well as
those focusing on the portrayal of history through the medium of
videogames.
Virtual History examines many of the most popular historical video
games released over the last decade and explores their portrayal of
history. The book looks at the motives and perspectives of game
designers and marketers, as well as the societal expectations
addressed, through contingency and determinism, economics, the
environment, culture, ethnicity, gender, and violence. Approaching
videogames as a compelling art form that can simultaneously inform
and mislead, the book considers the historical accuracy of
videogames, while also exploring how they depict the underlying
processes of history and highlighting their strengths as tools for
understanding history. The first survey of the historical content
and approach of popular videogames designed with students in mind,
it argues that games can depict history and engage players with it
in a useful way, encouraging the reader to consider the games they
play from a different perspective. Supported by examples and
screenshots that contextualize the discussion, Virtual History is a
useful resource for students of media and world history as well as
those focusing on the portrayal of history through the medium of
videogames.
This book considers the forces that shaped India's postwar position
as a major power. It examines the growth and development of India's
defense infrastructure from the eve of the Second World War in 1938
through the transfer of power and partition in 1947 to the creation
of the Baghdad Pact in 1955. The study shows how the British
invested in the expansion of India's defense infrastructure during
the Second World War in order to defend their imperial interests
east of Suez. It also examines the effects of partition and de jure
independence on India's access to this infrastructure. Finally, it
analyzes the impact that India's possession of this infrastructure
had on three developments of major importance to postwar
geopolitics: India's leadership of newly independent former
colonies, the decline of the British empire east of Suez, and the
origins of the Cold War in Asia.
Presents an assessment of the redevelopment and regeneration of
Leeds. This book identifies the drivers for change in the
renaissance of contemporary Leeds following its evolution from
Georgian/Victorian times. It explores the depth and complexity of
the public-private partnerships involved in the delivery structures
and their achievements. If Leeds was good in Arthur Ransome's day,
it is hard to find an adjective that describes its fizz and
chutzpah at the beginning of the 21st century. The city has been so
successful in the last 30 years that its rivals have had to fall
back on the insult 'smug', a jibe which, by definition, has little
effect on its target. There is a deep-rooted sense of satisfaction,
every bit as cosy as Ransome's, in the unofficial capital of
Yorkshire. It shows mostly in the attitude of its people but also
finds expression in the architecture, and especially in the strong
sense of place in the city centre. "Leeds: Shaping the City" is an
authoritative and objective assessment of the redevelopment and
regeneration of Leeds. It identifies the drivers for change in the
renaissance of contemporary Leeds following its evolution from
Georgian/Victorian times; explores the depth and complexity of the
public-private partnerships involved in the delivery structures and
their achievements; articulates the importance of urban design for
successful regeneration; uses case studies to illustrate the
processes involved in the major physical change of the city and to
assess their influence on future projects; and, provides a
chronology of critical regeneration activities and key events over
the last 20 years. Leeds has done exceptionally well in
transforming itself from a grimy 'factoryopolis'.There are
challenges ahead but the physical expression of Leeds' success -
seen everywhere from clubs and cool restaurants to lofts above the
inland port, where canal and river entwine - keep stimulating the
imagination of new generations of entrepreneurs.
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