Online learning with universal model and predictor classes

被引：0
|
作者：
Poland, Jan [1 ]
机构：
[1] Hokkaido Univ, Grad Sch Informat Sci & Technol, Sapporo, Hokkaido 060, Japan
来源：
2006 IEEE INFORMATION THEORY WORKSHOP | 2006年
关键词：
D O I：
10.1109/ITW.2006.1633819
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We review and relate some classical and recent results from the theory of online learning based on discrete classes of models or predictors. Among these frameworks, Bayesian methods, MDL, and prediction (or action) with expert advice are studied. We will discuss ways to work with universal base classes corresponding to sets of all programs on some fixed universal Turing machine, resulting in universal induction schemes.
引用
收藏
页码：237 / 241
页数：5
相关论文
共 50 条
  • [41] Preparing for the Unknown: Learning a Universal Policy with Online System Identification
    Yu, Wenhao
    Tan, Jie
    Liu, C. Karen
    Turk, Greg
    ROBOTICS: SCIENCE AND SYSTEMS XIII, 2017,
  • [42] An online predictor model as adaptive habitually linear and transiently nonlinear model
    Kalhor A.
    Araabi B.N.
    Lucas C.
    Evolving Systems, 2010, 1 (01) : 29 - 41
  • [43] Online Social Learning Model
    Adnan, Nurul Izzanie Binti
    Tasir, Zaidatun
    2014 INTERNATIONAL CONFERENCE ON TEACHING AND LEARNING IN COMPUTING AND ENGINEERING (LATICE), 2014, : 143 - 144
  • [44] Applications of social networking for universal access in online learning environments
    Tsai, Chia-Wen
    UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2017, 16 (02) : 269 - 272
  • [45] Applications of social networking for universal access in online learning environments
    Chia-Wen Tsai
    Universal Access in the Information Society, 2017, 16 : 269 - 272
  • [46] Universal Online Learning with Bounded Loss: Reduction to Binary Classification
    Blanchard, Moise
    Cosson, Romain
    CONFERENCE ON LEARNING THEORY, VOL 178, 2022, 178 : 479 - 495
  • [47] A conceptual Model of Online Learning
    Schabasser, Christina
    Bredeweg, Bert
    INFORMATION-WISSENSCHAFT UND PRAXIS, 2019, 70 (04): : 192 - 198
  • [48] Live Sharing of Learning Activities on E-Books for Enhanced Learning in Online Classes
    Taniguchi, Yuta
    Owatari, Takuro
    Minematsu, Tsubasa
    Okubo, Fumiya
    Shimada, Atsushi
    SUSTAINABILITY, 2022, 14 (12)
  • [49] A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process
    Gu, Zhaochen
    Sharma, Shashank
    Riley, Daniel A.
    Pantawane, Mangesh, V
    Joshi, Sameehan S.
    Fu, Song
    Dahotre, Narendra B.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (08) : 3341 - 3363
  • [50] A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process
    Zhaochen Gu
    Shashank Sharma
    Daniel A. Riley
    Mangesh V. Pantawane
    Sameehan S. Joshi
    Song Fu
    Narendra B. Dahotre
    Journal of Intelligent Manufacturing, 2023, 34 : 3341 - 3363
12345