| 2009 |
|---|
| 120 | EE | Ke Zhang,
Marcus Hutter,
Huidong Jin:
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data.
PAKDD 2009: 813-822 |
| 119 | EE | Ke Zhang,
Marcus Hutter,
Huidong Jin:
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
CoRR abs/0903.3257: (2009) |
| 118 | EE | Alberto Piatti,
Marco Zaffalon,
Fabio Trojani,
Marcus Hutter:
Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance
CoRR abs/0904.4527: (2009) |
| 117 | EE | Marcus Hutter:
Practical robust estimators for the imprecise Dirichlet model.
Int. J. Approx. Reasoning 50(2): 231-242 (2009) |
| 116 | EE | Alberto Piatti,
Marco Zaffalon,
Fabio Trojani,
Marcus Hutter:
Limits of learning about a categorical latent variable under prior near-ignorance.
Int. J. Approx. Reasoning 50(4): 597-611 (2009) |
| 115 | EE | Marcus Hutter,
Rocco A. Servedio:
Preface.
Theor. Comput. Sci. 410(19): 1747-1748 (2009) |
| 2008 |
|---|
| 114 | EE | Kassel Hingee,
Marcus Hutter:
Equivalence of probabilistic tournament and polynomial ranking selection.
IEEE Congress on Evolutionary Computation 2008: 564-571 |
| 113 | EE | Daniil Ryabko,
Marcus Hutter:
Predicting non-stationary processes.
Appl. Math. Lett. 21(5): 477-482 (2008) |
| 112 | EE | Kassel Hingee,
Marcus Hutter:
Equivalence of Probabilistic Tournament and Polynomial Ranking Selection
CoRR abs/0803.2925: (2008) |
| 111 | EE | Marcus Hutter:
Predictive Hypothesis Identification
CoRR abs/0809.1270: (2008) |
| 110 | EE | Marcus Hutter:
Feature Markov Decision Processes
CoRR abs/0812.4580: (2008) |
| 109 | EE | Marcus Hutter:
Feature Dynamic Bayesian Networks
CoRR abs/0812.4581: (2008) |
| 108 | EE | Marcus Hutter:
Algorithmic complexity.
Scholarpedia 3(1): 2573 (2008) |
| 107 | EE | Daniil Ryabko,
Marcus Hutter:
On the possibility of learning in reactive environments with arbitrary dependence.
Theor. Comput. Sci. 405(3): 274-284 (2008) |
| 2007 |
|---|
| 106 | | Marcus Hutter,
Rocco A. Servedio,
Eiji Takimoto:
Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings
Springer 2007 |
| 105 | EE | Marcus Hutter,
Rocco A. Servedio,
Eiji Takimoto:
Editors' Introduction.
ALT 2007: 1-8 |
| 104 | EE | Marcus Hutter:
The Loss Rank Principle for Model Selection.
COLT 2007: 589-603 |
| 103 | EE | Marcus Hutter,
Shane Legg:
Temporal Difference Updating without a Learning Rate.
NIPS 2007 |
| 102 | EE | Shane Legg,
Marcus Hutter:
A Collection of Definitions of Intelligence
CoRR abs/0706.3639: (2007) |
| 101 | EE | Marcus Hutter,
Andrej Muchnik:
On Semimeasures Predicting Martin-Loef Random Sequences
CoRR abs/0708.2319: (2007) |
| 100 | EE | Marcus Hutter:
On Universal Prediction and Bayesian Confirmation
CoRR abs/0709.1516: (2007) |
| 99 | EE | Shane Legg,
Marcus Hutter:
Universal Intelligence: A Definition of Machine Intelligence
CoRR abs/0712.3329: (2007) |
| 98 | EE | Shane Legg,
Marcus Hutter:
Tests of Machine Intelligence
CoRR abs/0712.3825: (2007) |
| 97 | EE | Alexey V. Chernov,
Marcus Hutter,
Jürgen Schmidhuber:
Algorithmic Complexity Bounds on Future Prediction Errors
CoRR abs/cs/0701120: (2007) |
| 96 | EE | Marcus Hutter:
Universal Algorithmic Intelligence: A mathematical top->down approach
CoRR abs/cs/0701125: (2007) |
| 95 | EE | Marcus Hutter:
Algorithmic Information Theory: a brief non-technical guide to the field
CoRR abs/cs/0703024: (2007) |
| 94 | EE | Marcus Hutter:
The Loss Rank Principle for Model Selection
CoRR abs/math/0702804: (2007) |
| 93 | EE | Alexey V. Chernov,
Marcus Hutter,
Jürgen Schmidhuber:
Algorithmic complexity bounds on future prediction errors.
Inf. Comput. 205(2): 242-261 (2007) |
| 92 | EE | Marcus Hutter:
Algorithmic information theory.
Scholarpedia 2(3): 2519 (2007) |
| 91 | EE | Marcus Hutter,
Shane Legg,
Paul M. B. Vitányi:
Algorithmic probability.
Scholarpedia 2(8): 2572 (2007) |
| 90 | EE | Marcus Hutter,
Andrej Muchnik:
On semimeasures predicting Martin-Löf random sequences.
Theor. Comput. Sci. 382(3): 247-261 (2007) |
| 89 | EE | Marcus Hutter:
On universal prediction and Bayesian confirmation.
Theor. Comput. Sci. 384(1): 33-48 (2007) |
| 2006 |
|---|
| 88 | | Marcus Hutter,
Wolfgang Merkle,
Paul M. B. Vitányi:
Kolmogorov Complexity and Applications, 29.01. - 03.02.2006
Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2006 |
| 87 | EE | Shane Legg,
Marcus Hutter:
Tests of Machine Intelligence.
50 Years of Artificial Intelligence 2006: 232-242 |
| 86 | EE | Marcus Hutter:
General Discounting Versus Average Reward.
ALT 2006: 244-258 |
| 85 | EE | Daniil Ryabko,
Marcus Hutter:
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence.
ALT 2006: 334-347 |
| 84 | EE | Daniil Ryabko,
Marcus Hutter:
Sequence prediction for non-stationary processes.
Combinatorial and Algorithmic Foundations of Pattern and Association Discovery 2006 |
| 83 | | Viktor Zhumatiy,
Faustino J. Gomez,
Marcus Hutter,
Jürgen Schmidhuber:
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot.
IAS 2006: 272-281 |
| 82 | EE | Marcus Hutter,
Wolfgang Merkle,
Paul M. B. Vitányi:
06051 Abstracts Collection -- Kolmogorov Complexity and Applications.
Kolmogorov Complexity and Applications 2006 |
| 81 | EE | Alexey V. Chernov,
Marcus Hutter,
Jürgen Schmidhuber:
Complexity Monotone in Conditions and Future Prediction Errors.
Kolmogorov Complexity and Applications 2006 |
| 80 | EE | Daniil Ryabko,
Marcus Hutter:
Learning in Reactive Environments with Arbitrary Dependence.
Kolmogorov Complexity and Applications 2006 |
| 79 | EE | Marcus Hutter:
On the Foundations of Universal Sequence Prediction.
TAMC 2006: 408-420 |
| 78 | EE | Viktor Zhumatiy,
Faustino J. Gomez,
Marcus Hutter,
Jürgen Schmidhuber:
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
CoRR abs/cs/0603023: (2006) |
| 77 | EE | Daniil Ryabko,
Marcus Hutter:
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence
CoRR abs/cs/0603110: (2006) |
| 76 | EE | Marcus Hutter:
On the Foundations of Universal Sequence Prediction
CoRR abs/cs/0605009: (2006) |
| 75 | EE | Shane Legg,
Marcus Hutter:
A Formal Measure of Machine Intelligence
CoRR abs/cs/0605024: (2006) |
| 74 | EE | Marcus Hutter:
General Discounting versus Average Reward
CoRR abs/cs/0605040: (2006) |
| 73 | EE | Daniil Ryabko,
Marcus Hutter:
On Sequence Prediction for Arbitrary Measures
CoRR abs/cs/0606077: (2006) |
| 72 | EE | Marcus Hutter,
Shane Legg:
Fitness Uniform Optimization
CoRR abs/cs/0610126: (2006) |
| 71 | EE | Jan Poland,
Marcus Hutter:
MDL Convergence Speed for Bernoulli Sequences
CoRR abs/math/0602505: (2006) |
| 70 | EE | Marcus Hutter:
Bayesian Regression of Piecewise Constant Functions
CoRR abs/math/0606315: (2006) |
| 69 | EE | Monaldo Mastrolilli,
Marcus Hutter:
Hybrid rounding techniques for knapsack problems.
Discrete Applied Mathematics 154(4): 640-649 (2006) |
| 68 | EE | Marcus Hutter,
Shane Legg:
Fitness uniform optimization.
IEEE Trans. Evolutionary Computation 10(5): 568-589 (2006) |
| 67 | EE | Marcus Hutter:
Sequential predictions based on algorithmic complexity.
J. Comput. Syst. Sci. 72(1): 95-117 (2006) |
| 66 | EE | Jan Poland,
Marcus Hutter:
MDL convergence speed for Bernoulli sequences.
Statistics and Computing 16(2): 161-175 (2006) |
| 65 | EE | Marcus Hutter:
On generalized computable universal priors and their convergence.
Theor. Comput. Sci. 364(1): 27-41 (2006) |
| 2005 |
|---|
| 64 | EE | Jan Poland,
Marcus Hutter:
Defensive Universal Learning with Experts.
ALT 2005: 356-370 |
| 63 | EE | Alexey V. Chernov,
Marcus Hutter:
Monotone Conditional Complexity Bounds on Future Prediction Errors.
ALT 2005: 414-428 |
| 62 | EE | Shane Legg,
Marcus Hutter:
Fitness uniform deletion: a simple way to preserve diversity.
GECCO 2005: 1271-1278 |
| 61 | EE | Shane Legg,
Marcus Hutter:
A Universal Measure of Intelligence for Artificial Agents.
IJCAI 2005: 1509-1510 |
| 60 | EE | Marco Zaffalon,
Marcus Hutter:
Robust inference of trees.
Ann. Math. Artif. Intell. 45(1-2): 215-239 (2005) |
| 59 | EE | Jan Poland,
Marcus Hutter:
Master Algorithms for Active Experts Problems based on Increasing Loss Values
CoRR abs/cs/0502067: (2005) |
| 58 | EE | Marcus Hutter:
On Generalized Computable Universal Priors and their Convergence
CoRR abs/cs/0503026: (2005) |
| 57 | EE | Shane Legg,
Marcus Hutter:
Fitness Uniform Deletion: A Simple Way to Preserve Diversity
CoRR abs/cs/0504035: (2005) |
| 56 | EE | Marcus Hutter,
Jan Poland:
Adaptive Online Prediction by Following the Perturbed Leader
CoRR abs/cs/0504078: (2005) |
| 55 | EE | Jan Poland,
Marcus Hutter:
Asymptotics of Discrete MDL for Online Prediction
CoRR abs/cs/0506022: (2005) |
| 54 | EE | Alexey V. Chernov,
Marcus Hutter:
Monotone Conditional Complexity Bounds on Future Prediction Errors
CoRR abs/cs/0507041: (2005) |
| 53 | EE | Jan Poland,
Marcus Hutter:
Defensive Universal Learning with Experts
CoRR abs/cs/0507044: (2005) |
| 52 | EE | Marcus Hutter:
Sequential Predictions based on Algorithmic Complexity
CoRR abs/cs/0508043: (2005) |
| 51 | EE | Jan Poland,
Marcus Hutter:
Universal Learning of Repeated Matrix Games
CoRR abs/cs/0508073: (2005) |
| 50 | EE | Marco Zaffalon,
Marcus Hutter:
Robust Inference of Trees
CoRR abs/cs/0511087: (2005) |
| 49 | EE | Jan Poland,
Marcus Hutter:
Strong Asymptotic Assertions for Discrete MDL in Regression and Classification
CoRR abs/math/0502315: (2005) |
| 48 | EE | Marcus Hutter,
Marco Zaffalon:
Distribution of mutual information from complete and incomplete data.
Computational Statistics & Data Analysis 48(3): 633-657 (2005) |
| 47 | EE | Jan Poland,
Marcus Hutter:
Asymptotics of discrete MDL for online prediction.
IEEE Transactions on Information Theory 51(11): 3780-3795 (2005) |
| 46 | EE | Marcus Hutter,
Jan Poland:
Adaptive Online Prediction by Following the Perturbed Leader.
Journal of Machine Learning Research 6: 639-660 (2005) |
| 2004 |
|---|
| 45 | EE | Marcus Hutter,
Andrej Muchnik:
Universal Convergence of Semimeasures on Individual Random Sequences.
ALT 2004: 234-248 |
| 44 | EE | Marcus Hutter,
Jan Poland:
Prediction with Expert Advice by Following the Perturbed Leader for General Weights.
ALT 2004: 279-293 |
| 43 | EE | Jan Poland,
Marcus Hutter:
On the Convergence Speed of MDL Predictions for Bernoulli Sequences.
ALT 2004: 294-308 |
| 42 | EE | Jan Poland,
Marcus Hutter:
Convergence of Discrete MDL for Sequential Prediction.
COLT 2004: 300-314 |
| 41 | EE | Marcus Hutter,
Marco Zaffalon:
Distribution of Mutual Information from Complete and Incomplete Data
CoRR cs.LG/0403025: (2004) |
| 40 | EE | Shane Legg,
Marcus Hutter,
Akshat Kumar:
Tournament versus Fitness Uniform Selection
CoRR cs.LG/0403038: (2004) |
| 39 | EE | Jan Poland,
Marcus Hutter:
Convergence of Discrete MDL for Sequential Prediction
CoRR cs.LG/0404057: (2004) |
| 38 | EE | Marcus Hutter,
Jan Poland:
Prediction with Expert Advice by Following the Perturbed Leader for General Weights
CoRR cs.LG/0405043: (2004) |
| 37 | EE | Jan Poland,
Marcus Hutter:
On the Convergence Speed of MDL Predictions for Bernoulli Sequences
CoRR cs.LG/0407039: (2004) |
| 36 | EE | Marcus Hutter,
Andrej Muchnik:
Universal Convergence of Semimeasures on Individual Random Sequences
CoRR cs.LG/0407057: (2004) |
| 2003 |
|---|
| 35 | EE | Marcus Hutter:
On the Existence and Convergence of Computable Universal Priors.
ALT 2003: 298-312 |
| 34 | EE | Marcus Hutter:
Sequence Prediction Based on Monotone Complexity.
COLT 2003: 506-521 |
| 33 | EE | Marcus Hutter:
An Open Problem Regarding the Convergence of Universal A Priori Probability.
COLT 2003: 738-740 |
| 32 | EE | Marcus Hutter:
Robust Estimators under the Imprecise Dirichlet Model.
ISIPTA 2003: 274-289 |
| 31 | EE | Marcus Hutter,
Marco Zaffalon:
Bayesian Treatment of Incomplete Discrete Data Applied to Mutual Information and Feature Selection.
KI 2003: 396-406 |
| 30 | EE | Marcus Hutter:
Sequence Prediction based on Monotone Complexity
CoRR cs.AI/0306036: (2003) |
| 29 | EE | Marcus Hutter:
Optimal Sequential Decisions based on Algorithmic Probability
CoRR cs.AI/0306091: (2003) |
| 28 | EE | Monaldo Mastrolilli,
Marcus Hutter:
Hybrid Rounding Techniques for Knapsack Problems
CoRR cs.CC/0305002: (2003) |
| 27 | EE | Marcus Hutter:
Convergence and Loss Bounds for Bayesian Sequence Prediction
CoRR cs.LG/0301014: (2003) |
| 26 | EE | Marcus Hutter:
On the Existence and Convergence Computable Universal Priors
CoRR cs.LG/0305052: (2003) |
| 25 | EE | Marcus Hutter,
Marco Zaffalon:
Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection
CoRR cs.LG/0306126: (2003) |
| 24 | EE | Marcus Hutter:
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet
CoRR cs.LG/0311014: (2003) |
| 23 | | Marcus Hutter:
Convergence and loss bounds for Bayesian sequence prediction.
IEEE Transactions on Information Theory 49(8): 2061-2067 (2003) |
| 22 | EE | Marcus Hutter:
Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet.
Journal of Machine Learning Research 4: 971-1000 (2003) |
| 2002 |
|---|
| 21 | EE | Marcus Hutter:
Self-Optimizing and Pareto-Optimal Policies in General Environments Based on Bayes-Mixtures.
COLT 2002: 364-379 |
| 20 | | Marco Zaffalon,
Marcus Hutter:
Robust Feature Selection by Mutual Information Distributions.
UAI 2002: 577-584 |
| 19 | EE | Marcus Hutter:
Self-Optimizing and Pareto-Optimal Policies in General Environments based on Bayes-Mixtures
CoRR cs.AI/0204040: (2002) |
| 18 | EE | Marco Zaffalon,
Marcus Hutter:
Robust Feature Selection by Mutual Information Distributions
CoRR cs.AI/0206006: (2002) |
| 17 | EE | Marcus Hutter:
The Fastest and Shortest Algorithm for All Well-Defined Problems
CoRR cs.CC/0206022: (2002) |
| 16 | EE | Marcus Hutter:
The Fastest and Shortest Algorithm for all Well-Defined Problems.
Int. J. Found. Comput. Sci. 13(3): 431-443 (2002) |
| 2001 |
|---|
| 15 | EE | Marcus Hutter:
Towards a Universal Theory of Artificial Intelligence Based on Algorithmic Probability and Sequential Decisions.
ECML 2001: 226-238 |
| 14 | EE | Marcus Hutter:
Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences.
ECML 2001: 239-250 |
| 13 | EE | Ivo Kwee,
Marcus Hutter,
Jürgen Schmidhuber:
Market-Based Reinforcement Learning in Partially Observable Worlds.
ICANN 2001: 865-873 |
| 12 | | Marcus Hutter:
General Loss Bounds for Universal Sequence Prediction.
ICML 2001: 210-217 |
| 11 | EE | Marcus Hutter:
General Loss Bounds for Universal Sequence Prediction
CoRR cs.AI/0101019: (2001) |
| 10 | EE | Marcus Hutter:
Fitness Uniform Selection to Preserve Genetic Diversity
CoRR cs.AI/0103015: (2001) |
| 9 | EE | Ivo Kwee,
Marcus Hutter,
Jürgen Schmidhuber:
Market-Based Reinforcement Learning in Partially Observable Worlds
CoRR cs.AI/0105025: (2001) |
| 8 | EE | Ivo Kwee,
Marcus Hutter,
Jürgen Schmidhuber:
Gradient-based Reinforcement Planning in Policy-Search Methods
CoRR cs.AI/0111060: (2001) |
| 7 | EE | Marcus Hutter:
Distribution of Mutual Information
CoRR cs.AI/0112019: (2001) |
| 6 | EE | Marcus Hutter:
An effective Procedure for Speeding up Algorithms
CoRR cs.CC/0102018: (2001) |
| 5 | EE | Marcus Hutter:
Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences
CoRR cs.LG/0106036: (2001) |
| 4 | | Marcus Hutter:
New Error Bounds for Solomonoff Prediction.
J. Comput. Syst. Sci. 62(4): 653-667 (2001) |
| 2000 |
|---|
| 3 | EE | Marcus Hutter:
A Theory of Universal Artificial Intelligence based on Algorithmic Complexity
CoRR cs.AI/0004001: (2000) |
| 2 | EE | Marcus Hutter:
Towards a Universal Theory of Artificial Intelligence based on Algorithmic Probability and Sequential Decision Theory
CoRR cs.AI/0012011: (2000) |
| 1999 |
|---|
| 1 | EE | Marcus Hutter:
New Error Bounds for Solomonoff Prediction
CoRR cs.AI/9912008: (1999) |
