Showing 1 - 16 results of 16 for search '"Computational learning theory"', query time: 0.07s Refine Results
  1. 1
    Computational learning theory : new models and algorithms

    Computational learning theory : new models and algorithms by Sloan, Robert Hal

    Published 2007
    Get full text
    Thesis
  2. 2
    Hybrid meta-heuristic algorithm based parameter optimization for extreme learning machines classification

    Hybrid meta-heuristic algorithm based parameter optimization for extreme learning machines classification by Alade, Oyekale Abel

    Published 2023
    Subjects:
    Get full text
    Thesis
  3. 3
    Detection on ambiguous software requirements specification written in malay using machine learning

    Detection on ambiguous software requirements specification written in malay using machine learning by Zahrin, Mohd Firdaus

    Published 2017
    Subjects:
    Get full text
    Thesis
  4. 4
    The Informational Complexity of Learning from Examples

    The Informational Complexity of Learning from Examples by Niyogi, Partha

    Published 2004
    “…These problems are analyzed from the perspective of computational learning theory and certain unifying perspectives emerge.…”
    Get full text
  5. 5
    Learning diseases from data : a disease space odyssey

    Learning diseases from data : a disease space odyssey by Haslam, Bryan (Bryan Todd)

    Published 2018
    Get full text
    Thesis
  6. 6
    Information learning approach

    Information learning approach by Zheng, Yun

    Published 2008
    “…Proposed a new approach, called information learning approach, to computational learning theory. Developed an algorithm, called discrete function learning algorithm, based on information learning approach. …”
    Get full text
    Thesis
  7. 7
    A complexity theoretic approach to learning

    A complexity theoretic approach to learning by Klivans, Adam R

    Published 2005
    Get full text
    Thesis
  8. 8
    Multi-Class Learning: Simplex Coding And Relaxation Error

    Multi-Class Learning: Simplex Coding And Relaxation Error by Mroueh, Youssef, Poggio, Tomaso, Rosasco, Lorenzo, Slotine, Jean-Jacques E.

    Published 2011
    “…We study multi-category classification in the framework of computational learning theory. We show how a relaxation approach, which is commonly used in binary classification, can be generalized to the multi-class setting. …”
    Get full text
  9. 9
    Malicious JavaScript detection web service

    Malicious JavaScript detection web service by Peng, Lunan

    Published 2016
    “…Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. It aims to develop algorithms that can learn from and make predictions on data. …”
    Get full text
    Final Year Project (FYP)
  10. 10
    Testability of linear-invariant properties

    Testability of linear-invariant properties by Bhattacharyya, Arnab

    Published 2012
    Get full text
    Thesis
  11. 11
    Intelligible models for learning categorical data via generalized fourier spectrum

    Intelligible models for learning categorical data via generalized fourier spectrum by Zhang, Xuhong,Ph. D.Massachusetts Institute of Technology.

    Published 2019
    Get full text
    Thesis
  12. 12
    Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles

    Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles by Golowich, Noah, Moitra, Ankur, Rohatgi, Dhruv

    Published 2024
    Get full text
    Article
  13. 13
    Refining learning models in grammatical inference

    Refining learning models in grammatical inference by Wang, Xiangrui

    Published 2008
    “…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
    Get full text
    Thesis
  14. 14
    Structure Learning of Antiferromagnetic Ising Models

    Structure Learning of Antiferromagnetic Ising Models by Bresler, Guy, Gamarnik, David, Shah, Devavrat

    Published 2016
    “…The construction is related to the notoriously difficult learning parities with noise problem in computational learning theory. Our lower bound shows that the [~ over O](p[superscript d+2]) runtime required by Bresler, Mossel, and Sly's exhaustive-search algorithm cannot be significantly improved without restricting the class of models. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  15. 15
    Computational applications of noise sensitivity

    Computational applications of noise sensitivity by O'Donnell, Ryan William, 1979-

    Published 2005
    Get full text
    Thesis
  16. 16
    Analysis of neural circuits in vitro

    Analysis of neural circuits in vitro by Wang, Jennifer Lynn

    Published 2011
    Get full text
    Thesis

Search Tools: