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Annual International Congress of Doctoral Students 2024
  • Language: es
  • Pages: 194

Annual International Congress of Doctoral Students 2024

El manuscrito que se presenta corresponde al libro de resúmenes de las comunicaciones presentadas al cuarto congreso internacional anual de estudiantes de doctorado de la Universidad Miguel Hernández de Elche. Dicho congreso se celebró de manera telemática los días 1 y 2 de febrero de 2024. El Congreso estuvo organizado por un comité formado por estudiantes de doctorado de nuestra Universidad en estrecha colaboración con el Vicerrectorado de Investigación y Transferencia y la Escuela de Doctorado UMH.

Dengue Fever
  • Language: en
  • Pages: 182

Dengue Fever

For over 70 years, dengue fever has challenged health systems in every region of the World. It has evolved from a benign febrile illness from the tropics to a major concern in urban settlements, overwhelming health infrastructure with large outbreaks, as it continues to teach us important lessons with its complexities. This book intends to review the latest updates on dengue fever, the tools available for its study and control, and promising technologies currently in the pipeline. With this work, the editors wish to provide students with an updated reference text on the basics of this disease as well as researchers and academics, with a useful document to understand the current outlook and the perspectives for the future.

Annual International Congress of Doctoral Students 2023
  • Language: es
  • Pages: 527

Annual International Congress of Doctoral Students 2023

El manuscrito que se presenta corresponde al libro de resúmenes de las comunicaciones presentadas al segundo congreso internacional anual de estudiantes de doctorado de la Universidad Miguel Hernández de Elche. Dicho congreso se celebró de manera telemática los días 2 y 3 de febrero de 2023. El Congreso estuvo organizado por un comité formado por estudiantes de doctorado de nuestra Universidad en estrecha colaboración con el Vicerrectorado de investigación.

Colombia's Killer Networks
  • Language: en
  • Pages: 194

Colombia's Killer Networks

VI. The U.S role

Self Portrait in Green
  • Language: en
  • Pages: 81

Self Portrait in Green

  • Type: Book
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  • Published: 2021-02-25
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  • Publisher: Influx Press

'NDiaye is a hypnotic storyteller with an unflinching understanding of the rock-bottom reality of most people's life.' New York Times ' One of France's most exciting prose stylists.' The Guardian. Obsessed by her encounters with the mysterious green women, and haunted by the Garonne River, a nameless narrator seeks them out in La Roele, Paris, Marseille, and Ouagadougou. Each encounter reveals different aspects of the women; real or imagined, dead or alive, seductive or suicidal, driving the narrator deeper into her obsession, in this unsettling exploration of identity, memory and paranoia. Self Portrait in Green is the multi-prize winning, Marie NDiaye's brilliant subversion of the memoir. Written in diary entries, with lyrical prose and dreamlike imagery, we start with and return to the river, which mirrors the narrative by posing more questions than it answers.

War Without Quarter
  • Language: en
  • Pages: 254

War Without Quarter

The laws of war and Colombia

Campos de Nijar, treinta años después
  • Language: es
  • Pages: 148

Campos de Nijar, treinta años después

Recopilación de textos escritos por alumnos y alumnas de 8o de EGB, recogiendo una experiencia interdisciplinar.

Brand Culture and Identity
  • Language: en
  • Pages: 532

Brand Culture and Identity

  • Type: Book
  • -
  • Published: 2018-05-04
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  • Publisher: Unknown

None

CATIE Tropical Agricultural Research and Higher Education Center Bi-annual Report 2003-2004
  • Language: en
  • Pages: 74
Pattern Recognition and Machine Learning
  • Language: en

Pattern Recognition and Machine Learning

  • Type: Book
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  • Published: 2016-08-23
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  • Publisher: Springer

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.