menu
{ "item_title" : "Algorithmic Learning in a Random World", "item_author" : [" Vladimir Vovk", "Alex Gammerman", "Glenn Shafer "], "item_description" : "A new scientific monograph developing significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. will find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/38/700/152/0387001522_b.jpg", "price_data" : { "retail_price" : "199.00", "online_price" : "199.00", "our_price" : "199.00", "club_price" : "199.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Algorithmic Learning in a Random World|Vladimir Vovk

Algorithmic Learning in a Random World

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

A new scientific monograph developing significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. will find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.

This item is Non-Returnable

Details

  • ISBN-13: 9780387001524
  • ISBN-10: 0387001522
  • Publisher: Springer
  • Publish Date: March 2005
  • Dimensions: 9.56 x 6.4 x 0.95 inches
  • Shipping Weight: 1.53 pounds
  • Page Count: 324

Related Categories

You May Also Like...

    1

BAM Customer Reviews