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Showing 1 - 11 of
11 matches in All Departments
Realms of Meaning presents an accessible introduction to semantics.
It provides an understanding of the way meaning works in natural
languages, against a background of how we communicate with
language. Avoiding theoretical terminology and linguistic theories
it concentrates instead on the analysis of meaning, and looks in
depth at such subjects as opposites and negatives, modal verbs,
prepositions and word meanings. Examples are chosen mainly from
English to provide material for the wider discussion of the
principles of the subject, but European, East Asian and other
languages also provide illuminating examples.
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Machine Learning and Knowledge Discovery in Databases, Part III - European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part III (Paperback, 2011)
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
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R1,606
Discovery Miles 16 060
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Ships in 10 - 15 working days
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This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913
constitutes the refereed proceedings of the European conference on
Machine Learning and Knowledge Discovery in Databases: ECML PKDD
2011, held in Athens, Greece, in September 2011. The 121 revised
full papers presented together with 10 invited talks and 11 demos
in the three volumes, were carefully reviewed and selected from
about 600 paper submissions. The papers address all areas related
to machine learning and knowledge discovery in databases as well as
other innovative application domains such as supervised and
unsupervised learning with some innovative contributions in
fundamental issues; dimensionality reduction, distance and
similarity learning, model learning and matrix/tensor analysis;
graph mining, graphical models, hidden markov models, kernel
methods, active and ensemble learning, semi-supervised and
transductive learning, mining sparse representations, model
learning, inductive logic programming, and statistical learning. a
significant part of the papers covers novel and timely applications
of data mining and machine learning in industrial domains.
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Machine Learning and Knowledge Discovery in Databases, Part II - European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part II (Paperback, 2011)
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
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R1,586
Discovery Miles 15 860
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Ships in 10 - 15 working days
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This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913
constitutes the refereed proceedings of the European conference on
Machine Learning and Knowledge Discovery in Databases: ECML PKDD
2011, held in Athens, Greece, in September 2011. The 121 revised
full papers presented together with 10 invited talks and 11 demos
in the three volumes, were carefully reviewed and selected from
about 600 paper submissions. The papers address all areas related
to machine learning and knowledge discovery in databases as well as
other innovative application domains such as supervised and
unsupervised learning with some innovative contributions in
fundamental issues; dimensionality reduction, distance and
similarity learning, model learning and matrix/tensor analysis;
graph mining, graphical models, hidden markov models, kernel
methods, active and ensemble learning, semi-supervised and
transductive learning, mining sparse representations, model
learning, inductive logic programming, and statistical learning. a
significant part of the papers covers novel and timely applications
of data mining and machine learning in industrial domains.
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Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part I (Paperback, 2011)
Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
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R1,603
Discovery Miles 16 030
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Ships in 10 - 15 working days
|
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913
constitutes the refereed proceedings of the European conference on
Machine Learning and Knowledge Discovery in Databases: ECML PKDD
2011, held in Athens, Greece, in September 2011. The 121 revised
full papers presented together with 10 invited talks and 11 demos
in the three volumes, were carefully reviewed and selected from
about 600 paper submissions. The papers address all areas related
to machine learning and knowledge discovery in databases as well as
other innovative application domains such as supervised and
unsupervised learning with some innovative contributions in
fundamental issues; dimensionality reduction, distance and
similarity learning, model learning and matrix/tensor analysis;
graph mining, graphical models, hidden markov models, kernel
methods, active and ensemble learning, semi-supervised and
transductive learning, mining sparse representations, model
learning, inductive logic programming, and statistical learning. a
significant part of the papers covers novel and timely applications
of data mining and machine learning in industrial domains.
Die Lehrbuchreihe Bankgeschafte fiir den Praktiker ist fUr
Bankkaufleute ge macht, die sich in eine neues Fachgebiet
einarbeiten wollen. Die Autoren gehen deshalb bei der Gestaltung
dieses Fachbuches yom Wissensstand eines Mitarbei ters im
Bankbetrieb aus, der im Rahmen seiner Ausbildung Grundkenntnisse zu
dem jeweiligen Themenbereich erworben hat und nunmehr vor die
Aufgabe ge stellt ist, als qualifizierter Sachbearbeiter ein
bestimmtes Gebiet im Bankge schaft abzudecken. Aus dies em Grunde
eignet sich das Buch auch fUr Teilneh mer an
BankfortbildungsmaBnahmen. Damit ist diese Lehrbuchreihe zwischen
der Ausbildungsliteratur und der Hochschulliteratur angesiedelt.
Die Lehrbticher werden betont praxisnah ge staltet, indem jeweils
von konkreten Fallbeispielen ausgegangen wird, die im Bankgeschaft
auftreten. 1m Rahmen dieser Fallsituation werden die not wend i gen
Erlauterungen zum Sachverhalt in anschaulicher und strukturierter
Form dargeboten. Die rechtlichen Probleme und wirtschaftlichen
Risiken, die mit dem Grund buch zusammenhangen, sind
vielschichtiger Art. Deshalb werden die typischen Problemfalle
nicht nur unter juristischen Fragestellungen - unter Mitarbeit ei
nes Notars - sondern auch in der kaufmannischen Bewertung aus der
Sicht der Bank dargestellt. In die Beispiele werden aIle
notwendigen Formulare, Textbei spiele und Ablaufschemata eingefUgt,
die fUr das Verstandnis und die Nachvoll ziehbarkeit der FaIle
notwendig sind. Wesentliche Begriffe werden in einem angeftigten
Stichwortverzeichnis er lautert, so daB dieses Werk nicht nur als
Lehrbuch sondern auch als Nachschla gewerk einsetzbar ist. Unser
Dank gilt besonders all denjenigen, die uns bereitwillig geholfen
ha ben, das "Grundbuch im Kreditgeschaft" aktuell und praxisnah zu
gestalten."
Thomas Hofmannuntersucht die Bedeutung des Preises sowie weiterer
Einflussfaktoren auf die wahrgenommene Qualitat am Beispiel von
verschiedenen Produkten und in drei Kulturen. Es zeigt sich, dass
Preise uber die betrachteten Produkte und Kulturen hinweg als
Qualitatsindikatoren herangezogen werden. Im Gegensatz dazu ist die
Bedeutung z.B. von emotionalen oder sozialen Faktoren sowohl
produkt- als auch kulturabhangig. "
State-of-the-art algorithms and theory in a novel domain of machine
learning, prediction when the output has structure. Machine
learning develops intelligent computer systems that are able to
generalize from previously seen examples. A new domain of machine
learning, in which the prediction must satisfy the additional
constraints found in structured data, poses one of machine
learning's greatest challenges: learning functional dependencies
between arbitrary input and output domains. This volume presents
and analyzes the state of the art in machine learning algorithms
and theory in this novel field. The contributors discuss
applications as diverse as machine translation, document markup,
computational biology, and information extraction, among others,
providing a timely overview of an exciting field. Contributors
Yasemin Altun, Goekhan Bakir, Olivier Bousquet, Sumit Chopra,
Corinna Cortes, Hal Daume III, Ofer Dekel, Zoubin Ghahramani, Raia
Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann,
Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford
Noble, Fernando Perez-Cruz, Massimiliano Pontil, Marc'Aurelio
Ranzato, Juho Rousu, Craig Saunders, Bernhard Schoelkopf, Matthias
W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer,
Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis
Tsochantaridis, S.V.N Vishwanathan, Jason Weston
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