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On Maximum a Posteriori Estimation of Hidden Markov Processes

Computer Science – Artificial Intelligence
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On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies

Computer Science – Artificial Intelligence
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On Minimal Constraint Networks

Computer Science – Artificial Intelligence
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On Nonspecific Evidence

Computer Science – Artificial Intelligence
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On Planning with Preferences in HTN

Computer Science – Artificial Intelligence
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On Polynomial Sized MDP Succinct Policies

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On Prediction Using Variable Order Markov Models

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On Properties of Update Sequences Based on Causal Rejection

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On Requirements for Programming Exercises from an E-learning Perspective

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On rho in a Decision-Theoretic Apparatus of Dempster-Shafer Theory

Computer Science – Artificial Intelligence
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On Sequences with Non-Learnable Subsequences

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On the accuracy and running time of GSAT

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On the Average Similarity Degree between Solutions of Random k-SAT and Random CSPs

Computer Science – Artificial Intelligence
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On the Benefits of Inoculation, an Example in Train Scheduling

Computer Science – Artificial Intelligence
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On the CNF encoding of cardinality constraints and beyond

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On the comparison of plans: Proposition of an instability measure for dynamic machine scheduling

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On The Complexity and Completeness of Static Constraints for Breaking Row and Column Symmetry

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On the Complexity of Case-Based Planning

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On the Complexity of Decision Making in Possibilistic Decision Trees

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On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach

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