|
|
Empirical entropy in context
– Travis Gagie
- 708
|
|
|
Contents
– Cosma Rohilla Shalizi
- 2003
|
|
10
|
Methods and techniques of complex systems science: An overview
– Cosma Rohilla Shalizi
- 2006
|
|
17
|
Applying MDL to Learning Best Model Granularity
– Qiong Gao, Ming Li, Paul Vitányi
- 1994
|
|
22
|
The discovery of algorithmic probability
– Ray J. Solomonoff, Royal Holloway
- 1997
|
|
11
|
Computational depth and reducibility
– David W. Juedes, James I. Lathrop, Jack H. Lutz
- 1994
|
|
4
|
Lectures on statistical modeling theory
– J. Rissanen
|
|
21
|
Algorithmic Theories Of Everything
– Jürgen Schmidhuber
- 2000
|
|
6
|
Sequence Complexity for Biological Sequence Analysis
– Lloyd Allison, Linda Stern, L. Allison A, Trevor Dix, L. Stern B, Tim Edgoose, T. I. Dix A
- 2000
|
|
17
|
Discovering Problem Solutions with Low Kolmogorov Complexity and High Generalization Capability
– Jürgen Schmidhuber
- 1994
|
|
41
|
Discovering Neural Nets With Low Kolmogorov Complexity And High Generalization Capability
– Jürgen Schmidhuber
- 1997
|
|
|
Information Theory for Complex Systems Lecture Notes
– Kristian Lindgren
- 2003
|
|
9
|
Generativity and Systematicity in Neural Network Combinatorial Learning
– Olivier Brousse
- 1993
|
|
60
|
Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity
– Paul Vitányi, Ming Li
- 1998
|
|
5
|
The Complexity and Entropy of Literary Styles
– I. Kontoyiannis
- 1996
|
|
7
|
Structured Audio, Kolmogorov Complexity, and Generalized Audio Coding
– Eric D. Scheirer
- 2001
|
|
5
|
Algorithm Selection for Sorting and Probabilistic Inference: A Machine Learning-Based Approach
– Haipeng Guo
- 2003
|
|
8
|
Unsupervised Lexical Learning as Inductive Inference
– Chun Yu Kit
- 2000
|
|
|
Introduction to Complexity Theory
– unknown authors
|
