Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 – December 2, 2011 /
Algorithmic probability and friends: Proceedings of the Ray Solomonoff 85th memorial conference is a collection of original work and surveys. The Solomonoff 85th memorial conference was held at Monash University's Clayton campus in Melbourne, Australia as a tribute to pioneer, Ray Solomonoff (1...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
| Σειρά: | Lecture Notes in Computer Science,
7070 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction to Ray Solomonoff 85th Memorial Conference
- Ray Solomonoff and the New Probability
- Universal Heuristics: How Do Humans Solve “Unsolvable” Problems?
- Partial Match Distance
- Falsification and Future Performance
- The Semimeasure Property of Algorithmic Probability – “Feature” or “Bug”?
- Inductive Inference and Partition Exchangeability in Classification
- Learning in the Limit: A Mutational and Adaptive Approach
- Algorithmic Simplicity and Relevance
- Categorisation as Topographic Mapping between Uncorrelated Spaces
- Algorithmic Information Theory and Computational Complexity
- A Critical Survey of Some Competing Accounts of Concrete Digital Computation
- Further Reflections on the Timescale of AI
- Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL
- Complexity Measures for Meta-learning and Their Optimality
- Design of a Conscious Machine
- No Free Lunch versus Occam’s Razor in Supervised Learning
- An Approximation of the Universal Intelligence Measure
- Minimum Message Length Analysis of the Behrens–Fisher Problem
- MMLD Inference of Multilayer Perceptrons
- An Optimal Superfarthingale and Its Convergence over a Computable Topological Space
- Diverse Consequences of Algorithmic Probability
- An Adaptive Compression Algorithm in a Deterministic World
- Toward an Algorithmic Metaphysics
- Limiting Context by Using the Web to Minimize Conceptual Jump Size
- Minimum Message Length Order Selection and Parameter Estimation of Moving Average Models
- Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction
- Locating a Discontinuity in a Piecewise-Smooth Periodic Function Using Bayes Estimation
- On the Application of Algorithmic Probability to Autoregressive Models
- Principles of Solomonoff Induction and AIXI
- MDL/Bayesian Criteria Based on Universal Coding/Measure
- Algorithmic Analogies to Kamae-Weiss Theorem on Normal Numbers
- (Non-)Equivalence of Universal Priors
- A Syntactic Approach to Prediction
- Developing Machine Intelligence within P2P Networks Using a Distributed Associative Memory. .
