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The Roster of Union Soldiers, 1861-1865
  • Language: en
  • Pages: 430

The Roster of Union Soldiers, 1861-1865

  • Type: Book
  • -
  • Published: 1997
  • -
  • Publisher: Unknown

An alphabetical listing of volunteer Union soldiers serving with the United States Colored Troops. It has been transcribed from the 98 reels of National Archives Microfilm Group M589.

Official Register of the United States
  • Language: en
  • Pages: 860

Official Register of the United States

  • Type: Book
  • -
  • Published: 1950
  • -
  • Publisher: Unknown

None

Register of the Commission and Warrant Officers of the Navy of the United States, Including Officers of the Marine Corps
  • Language: en
  • Pages: 528
Register of the Commissioned and Warrant Officers of the United States Navy and Marine Corps
  • Language: en
  • Pages: 528
Navy Directory
  • Language: en
  • Pages: 1480

Navy Directory

  • Type: Book
  • -
  • Published: 1923
  • -
  • Publisher: Unknown

None

Navy Directory
  • Language: en
  • Pages: 1096

Navy Directory

  • Type: Book
  • -
  • Published: 1928
  • -
  • Publisher: Unknown

None

Navy Directory
  • Language: en
  • Pages: 288

Navy Directory

  • Type: Book
  • -
  • Published: 1933
  • -
  • Publisher: Unknown

None

Register of the Commissioned and Warrant Officers of the United States Navy and Marine Corps
  • Language: en
  • Pages: 456
Navy Directory
  • Language: en
  • Pages: 2060

Navy Directory

  • Type: Book
  • -
  • Published: 1939
  • -
  • Publisher: Unknown

None

Gaussian Processes for Machine Learning
  • Language: en
  • Pages: 266

Gaussian Processes for Machine Learning

  • Type: Book
  • -
  • Published: 2005-11-23
  • -
  • Publisher: MIT Press

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both ...