<--- Back to Details
First PageDocument Content
Artificial intelligence / Algorithmic information theory / Theory of computation / Ray Solomonoff / Computability theory / Algorithm / Computational complexity theory / Complexity / NP / Theoretical computer science / Applied mathematics / Mathematics
Date: 2014-09-17 03:58:53
Artificial intelligence
Algorithmic information theory
Theory of computation
Ray Solomonoff
Computability theory
Algorithm
Computational complexity theory
Complexity
NP
Theoretical computer science
Applied mathematics
Mathematics

A SYSTEM FOR INCREMENTAL LEARNING BASED ON ALGORITHMIC PROBABILITY Ray J. Solomonoff ∗ Computer Learning Research Center Royal Holloway, University of London Mailing Address: P.O.B, Cambridge, Ma, U.S.A.

Add to Reading List

Source URL: world.std.com

Download Document from Source Website

File Size: 172,27 KB

Share Document on Facebook

Similar Documents

V. G. VOVK  ON A CRITERION OF RANDOMNESS (Communicated by Academician A. N. Kolmogorov, This work belongs to algorithmic information theory (seeTheorem 1 shows that if some sequence is random with resp

V. G. VOVK ON A CRITERION OF RANDOMNESS (Communicated by Academician A. N. Kolmogorov, This work belongs to algorithmic information theory (seeTheorem 1 shows that if some sequence is random with resp

DocID: 1uGQs - View Document

Causal Inference by Direction of Information Jilles Vreeken◦ Abstract We focus on data-driven causal inference. In particular, we propose a new principle for causal inference based on algorithmic information theory, i.

Causal Inference by Direction of Information Jilles Vreeken◦ Abstract We focus on data-driven causal inference. In particular, we propose a new principle for causal inference based on algorithmic information theory, i.

DocID: 1s7E7 - View Document

Microsoft Word - New Mechanisms Information Platform E-mail Newsletter Vol.55

Microsoft Word - New Mechanisms Information Platform E-mail Newsletter Vol.55

DocID: 1rhiC - View Document

Powerpoint-presentation Information and Computing Sciences

Powerpoint-presentation Information and Computing Sciences

DocID: 1rg8s - View Document

Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll†

Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton Scott Aaronson∗ Sean M. Carroll†

DocID: 1raML - View Document