Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence: Papers from the Ray Solomonoff 85th Memorial Conference, Melbour

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence: Papers from the Ray Solomonoff 85th Memorial Conference, Melbour

Dowe, David L.

Paperback

General Computers

ISBN10: 3642449573
ISBN13: 9783642449574
Publisher: Springer
Published: Nov 11 2013
Pages: 445
Weight: 1.42
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

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.

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