menu
{ "item_title" : "Genetic Programming Theory and Practice XII", "item_author" : [" Rick Riolo", "William P. Worzel", "Mark Kotanchek "], "item_description" : "Application of Machine-Learing Methods to Understand Gene Expression Regulation.- Identification of Novel Genetic Models of Glaucoma using the Emergent Genetic Programming-Based Artificial Intelligence System.- Inheritable Epigenetics in Genetic Programming.- SKGP: The Way of the Combinator.- Sequential Symbolic Regression with Genetic Programming.- Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.- Extremely Accurate Symbolic Regression for Large Feature Problems.- How to Exploit Alignment in the Error Space: Two Different GP Models.- Analyzing a Decade of Human-Competitive (HUMIE) Winners: What Can We Learn?.- Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/938/376/3319383760_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Genetic Programming Theory and Practice XII|Rick Riolo

Genetic Programming Theory and Practice XII

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

Application of Machine-Learing Methods to Understand Gene Expression Regulation.- Identification of Novel Genetic Models of Glaucoma using the "Emergent" Genetic Programming-Based Artificial Intelligence System.- Inheritable Epigenetics in Genetic Programming.- SKGP: The Way of the Combinator.- Sequential Symbolic Regression with Genetic Programming.- Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.- Extremely Accurate Symbolic Regression for Large Feature Problems.- How to Exploit Alignment in the Error Space: Two Different GP Models.- Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn?.- Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System.

This item is Non-Returnable

Details

  • ISBN-13: 9783319383767
  • ISBN-10: 3319383760
  • Publisher: Springer
  • Publish Date: October 2016
  • Dimensions: 9.21 x 6.14 x 0.42 inches
  • Shipping Weight: 0.62 pounds
  • Page Count: 182

Related Categories

You May Also Like...

    1

BAM Customer Reviews