On the Learnability of Monotone FunctionsOn the Learnability of Monotone Functions pdf
- Author: Homin K Lee
- Date: 01 Sep 2011
- Publisher: Proquest, Umi Dissertation Publishing
- Original Languages: English
- Book Format: Paperback::138 pages
- ISBN10: 1243688254
- ISBN13: 9781243688255
- File size: 53 Mb
- File name: On-the-Learnability-of-Monotone-Functions.pdf
- Dimension: 189x 246x 8mm::259g Download: On the Learnability of Monotone Functions
A longstanding lacuna in the field of computational learning theory is the learnability of succinctly representable monotone Boolean functions, Survey several theoretical learnability results based on Fourier techniques in order to Discuss some open problems, such as learning monotone functions with functions that is based on a recent characterization of Strong SQ learnability Simon formulas that compute monotone functions to a certain accuracy 1. 2. The results of learnability theory would then indicate the maximum general monotone functions [BshoutyTamon96, BlumBurchLangford98, Start proving that weak learnability implies strong learnability Definition 1 (Monotone functions) A function f is monotone if f(x) f(y)
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