KE Group
Topic: Technical Reports
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Below you can find a list of our technical reports. Subtopics: Keywords: |
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Publications for topic "Technical Reports"
2019
| , and , On the Trade-off Between Consistency and Coverage in Multi-label Rule Learning Heuristics, Knowledge Engineering Group, Technische Universität Darmstadt, number 1908.03032, ArXiv e-prints, 2019 |
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2018
| and , Analysis and Optimization of Deep Counterfactual Value Networks, Knowledge Engineering Group, Technische Universität Darmstadt, number 1807.00900, 2018 |
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2017
| , , and , Multi-Objective Optimisation-based Feature Selection for Multi-Label Classification, Knowledge Engineeering Group, TU Darmstadt, number TUD-KE-2017-01, 2017 |
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2016
| , , , and , Informed Hybrid Game Tree Search, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2016–01, 2016 |
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2015
| , and , Advances in Predictive Maintenance for a Railway Scenario - Project Techlok, Knowledge Engineering Group, 2015 |
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| , and , Evaluation of different Regression Learners under Asymmetric Loss for Predictive Maintenance, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2015–02, 2015 |
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2014
| , and , Data-driven Detection of Congestion-affected Roads, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2014–02, 2014 |
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| , and , Graded Multilabel Classification by Pairwise Comparisons, Knowledge Engineering Group, Technische Universität Darmstadt, Technical Report, 2014 |
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2012
| and , Basic Instrument for Experimental Probes in Machine Learning, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2012–01, 2012 |
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| , , and , Multi-label LeGo -- Enhancing Multi-label Classifiers with Local Patterns, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2012-02, 2012 |
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2011
| and , Margin Driven Separate and Conquer by Assymmetric Loss Functions, TU Darmstadt, Knowledge Engineering Group, number TUD–KE–2011–01, 2011 |
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| and , Unsupervised Generation of Data Mining Features from Linked Open Data, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD-KE-2011-2, 2011 |
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2010
| and , A Moderately Successful Attempt to Train Chess Evaluation Functions of Different Strengths, TU Darmstadt, number TUD-KE-2010-07, 2010 |
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| , and , Exploiting Code-Redundancies in ECOC for Reducing its Training Complexity using Incremental and SVM Learners, TU Darmstadt, number TUD-KE-2010-06, 2010 |
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| , Persistent Name Spaces for Uniform Experiments, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-04, 2010 |
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| and , Probability Estimation and Aggregation for Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-03, 2010 |
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| and , Rule Stacking: An approach for compressing an ensemble of rule sets into a single classifier, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-05, 2010 |
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| and , Separate-and-conquer Regression, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-01, 2010 |
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| and , The SeCo-framework for rule learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2010-02, 2010 |
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2009
| and , A Comparison of Strategies for Handling Missing Values in Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-03, 2009 |
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| , , and , An Exploitative Monte-Carlo Poker Agent, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-02, 2009 |
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| and , Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-01, 2009 |
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| and , Learning To Recognize Missing E-mail Attachments, Knowledge Engineering Group, TU Darmstadt, number TUD-KE-2009-05, 2009 |
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| and , Margin Driven Separate and Conquer by Working Set Expansion, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-06, 2009 |
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2008
| and , A Re-Evaluation of the Over-Searching Phenomenon in Inductive Rule Learning, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-02, 2008 |
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| , and , Advances in Efficient Pairwise Multilabel Classification, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-06, 2008 |
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| and , An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-03, 2008 |
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| and , An Empirical Quest for Optimal Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-01, 2008 |
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| and , Learning of Piece Values for Chess Variants, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-07, 2008 |
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| and , Multi-Label Classification with Label Constraints, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-04, 2008 |
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| and , On Table Extraction from Text Sources with Markups, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2008-05, 2008 |
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2007
| and , Efficient Pairwise Classification and Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-03, 2007 |
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| , , and , From Local Patterns to Global Models: The LeGo Approach to Data Mining, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-06, 2007 |
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| , and , Label Ranking by Learning Pairwise Preferences, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-01, 2007 |
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| and , Meta-Learning Rule Learning Heuristics, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-02, 2007 |
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| and , On Minimizing the Position Error in Label Ranking, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-04, 2007 |
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| and , Pairwise Learning of Multilabel Classifications with Perceptrons, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2007-05, 2007 |
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