Holger H. Hoos

Nima Aghaeepour, Holger H. Hoos: Ensemble-based prediction of RNA secondary structures. BMC Bioinformatics 14: 139 (2013)

Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole: Reasoning With Conditional Ceteris Paribus Preference Statem. CoRR abs/1301.6681 (2013)

Holger H. Hoos, Thomas Stützle: Evaluating Las Vegas Algorithms - Pitfalls and Remedies. CoRR abs/1301.7383 (2013)

Nima Aghaeepour, Pratip K. Chattopadhyay, Anuradha Ganesan, Kieran O'Neill, Habil Zare, Adrin Jalali, Holger H. Hoos, Mario Roederer, Ryan R. Brinkman: Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assays. Bioinformatics 28(7): 1009-1016 (2012)

Monir Hajiaghayi, Anne Condon, Holger H. Hoos: Analysis of energy-based algorithms for RNA secondary structure prediction. BMC Bioinformatics 13: 22 (2012)

Holger H. Hoos: Programming by optimization. Commun. ACM 55(2): 70-80 (2012)

Lin Xu, Holger H. Hoos, Kevin Leyton-Brown: Predicting Satisfiability at the Phase Transition. AAAI 2012

Holger Hoos, Roland Kaminski, Torsten Schaub, Marius Thomas Schneider: aspeed: ASP-based Solver Scheduling. ICLP (Technical Communications) 2012: 176-187

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: Parallel Algorithm Configuration. LION 2012: 55-70

Marius Schneider, Holger H. Hoos: Quantifying Homogeneity of Instance Sets for Algorithm Configuration. LION 2012: 190-204

James Styles, Holger H. Hoos, Martin Müller: Automatically Configuring Algorithms for Scaling Performance. LION 2012: 205-219

Lin Xu, Frank Hutter, Holger Hoos, Kevin Leyton-Brown: Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors. SAT 2012: 228-241

Chris Thornton, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: Auto-WEKA: Automated Selection and Hyper-Parameter Optimization of Classification Algorithms. CoRR abs/1208.3719 (2012)

Frank Hutter, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown: Algorithm Runtime Prediction: The State of the Art. CoRR abs/1211.0906 (2012)

Therese C. Biedl, Stephane Durocher, Holger H. Hoos, Shuang Luan, Jared Saia, Maxwell Young: A note on improving the performance of approximation algorithms for radiation therapy. Inf. Process. Lett. 111(7): 326-333 (2011)

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: Sequential Model-Based Optimization for General Algorithm Configuration. LION 2011: 507-523

Christopher Nell, Chris Fawcett, Holger H. Hoos, Kevin Leyton-Brown: HAL: A Framework for the Automated Analysis and Design of High-Performance Algorithms. LION 2011: 600-615

Dave A. D. Tompkins, Adrian Balint, Holger H. Hoos: Captain Jack: New Variable Selection Heuristics in Local Search for SAT. SAT 2011: 302-316

Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole: CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements. CoRR abs/1107.0023 (2011)

Holger H. Hoos, Wayne J. Pullan: Dynamic Local Search for the Maximum Clique Problem. CoRR abs/1109.5717 (2011)

Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: SATzilla: Portfolio-based Algorithm Selection for SAT. CoRR abs/1111.2249 (2011)

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: Tradeoffs in the empirical evaluation of competing algorithm designs. Ann. Math. Artif. Intell. 60(1-2): 65-89 (2010)

Lin Xu, Holger Hoos, Kevin Leyton-Brown: Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection. AAAI 2010

Holger H. Hoos: Computer-Aided Algorithm Design: Automated Tuning, Configuration, Selection, and Beyond. ICAPS 2010: 268-269

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: Automated Configuration of Mixed Integer Programming Solvers. CPAIOR 2010: 186-202

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy: Time-Bounded Sequential Parameter Optimization. LION 2010: 281-298

Dave A. D. Tompkins, Holger H. Hoos: Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT. SAT 2010: 278-292

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle: ParamILS: An Automatic Algorithm Configuration Framework. J. Artif. Intell. Res. (JAIR) 36: 267-306 (2009)

Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy: An experimental investigation of model-based parameter optimisation: SPO and beyond. GECCO 2009: 271-278

Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown: SATenstein: Automatically Building Local Search SAT Solvers from Components. IJCAI 2009: 517-524

Thomas Stützle, Mauro Birattari, Holger H. Hoos (Eds.): Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings. Lecture Notes in Computer Science 5752, Springer 2009, isbn 978-3-642-03750-4

Therese C. Biedl, Stephane Durocher, Holger H. Hoos, Shuang Luan, Jared Saia, Maxwell Young: Fixed-Parameter Tractability and Improved Approximations for Segment Minimization. CoRR abs/0905.4930 (2009)

Mirela Andronescu, Vera Bereg, Holger H. Hoos, Anne Condon: RNA STRAND: The RNA Secondary Structure and Statistical Analysis Database. BMC Bioinformatics 9 (2008)

Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: SATzilla: Portfolio-based Algorithm Selection for SAT. J. Artif. Intell. Res. (JAIR) 32: 565-606 (2008)

Holger H. Hoos, Thomas Stützle: Preface. Annals OR 156(1): 1-4 (2007)

Rosalía Aguirre-Hernández, Holger H. Hoos, Anne Condon: Computational RNA secondary structure design: empirical complexity and improved methods. BMC Bioinformatics 8 (2007)

Alena Shmygelska, Holger H. Hoos: An adaptive bin framework search method for a beta-sheet protein homopolymer model. BMC Bioinformatics 8 (2007)

Chris Thachuk, Alena Shmygelska, Holger H. Hoos: A replica exchange Monte Carlo algorithm for protein folding in the HP model. BMC Bioinformatics 8 (2007)

Michael Huggett, Holger Hoos, Ron Rensink: Cognitive Principles for Information Management: The Principles of Mnemonic Associative Knowledge (P-MAK). Minds and Machines 17(4): 445-485 (2007)

Frank Hutter, Holger H. Hoos, Thomas Stützle: Automatic Algorithm Configuration Based on Local Search. AAAI 2007: 1152-1157

Lin Xu, Holger H. Hoos, Kevin Leyton-Brown: Hierarchical Hardness Models for SAT. CP 2007: 696-711

Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown: : The Design and Analysis of an Algorithm Portfolio for SAT. CP 2007: 712-727

Frank Hutter, Domagoj Babic, Holger H. Hoos, Alan J. Hu: Boosting Verification by Automatic Tuning of Decision Procedures. FMCAD 2007: 27-34

Camilo Rostoker, Alan Wagner, Holger H. Hoos: A Parallel Workflow for Real-time Correlation and Clustering of High-Frequency Stock Market Data. IPDPS 2007: 1-10

Mirela Andronescu, Anne Condon, Holger H. Hoos, David H. Mathews, Kevin P. Murphy: Efficient parameter estimation for RNA secondary structure prediction. ISMB/ECCB (Supplement of Bioinformatics) 2007: 19-28

Mauro Brunato, Holger H. Hoos, Roberto Battiti: On Effectively Finding Maximal Quasi-cliques in Graphs. LION 2007: 41-55

Thomas Stützle, Mauro Birattari, Holger H. Hoos (Eds.): Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings. Lecture Notes in Computer Science 4638, Springer 2007, isbn 978-3-540-74445-0

Wayne J. Pullan, Holger H. Hoos: Dynamic Local Search for the Maximum Clique Problem. J. Artif. Intell. Res. (JAIR) 25: 159-185 (2006)

Dave A. D. Tompkins, Holger H. Hoos: On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT. Canadian Conference on AI 2006: 146-158

Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevin Leyton-Brown: Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms. CP 2006: 213-228

Alena Shmygelska, Holger H. Hoos: An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem. BMC Bioinformatics 6: 30 (2005)

Frank Hutter, Holger H. Hoos, Thomas Stützle: Efficient Stochastic Local Search for MPE Solving. IJCAI 2005: 169-174

Holger H. Hoos, David G. Mitchell (Eds.): Theory and Applications of Satisfiability Testing, 7th International Conference, SAT 2004, Vancouver, BC, Canada, May 10-13, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3542, Springer 2005, isbn 3-540-27829-X

Holger H. Hoos, Thomas Stützle: Stochastic Local Search: Foundations & Applications. Elsevier / Morgan Kaufmann 2004, isbn 1-55860-872-9

Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole: Preference-Based Constrained Optimization with CP-Nets. Computational Intelligence 20(2): 137-157 (2004)

Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole: CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. J. Artif. Intell. Res. (JAIR) 21: 135-191 (2004)

Dave A. D. Tompkins, Holger H. Hoos: Warped Landscapes and Random Acts of SAT Solving. AMAI 2004

Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham: Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. CP 2004: 438-452

Dave A. D. Tompkins, Holger H. Hoos: Warped Landscapes and Random Acts of SAT Solving. ISAIM 2004

Jürgen Kilian, Holger H. Hoos: MusicBLAST - Gapped Sequence Alignment for MIR. ISMIR 2004

Holger H. Hoos, Kevin Smyth, Thomas Stützle: Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. PPSN 2004: 51-60

Dave A. D. Tompkins, Holger H. Hoos: UBCSAT: An Implementation and Experimentation Environment for SLS Algorithms for SAT & MAX-SAT. SAT 2004

Dave A. D. Tompkins, Holger H. Hoos: UBCSAT: An Implementation and Experimentation Environment for SLS Algorithms for SAT and MAX-SAT. SAT (Selected Papers 2004: 306-320

Andrew T. Kwon, Holger H. Hoos, Raymond T. Ng: Inference of Transcriptional Regulation Relationships from Gene Expression Data. Bioinformatics 19(8): 905-912 (2003)

Mirela Andronescu, Rosalía Aguirre-Hernández, Anne Condon, Holger H. Hoos: RNAsoft: a suite of RNA secondary structure prediction and design software tools. Nucleic Acids Research 31(13): 3416-3422 (2003)

Michael Pavlin, Holger H. Hoos, Thomas Stützle: Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness. Canadian Conference on AI 2003: 96-113

Kevin Smyth, Holger H. Hoos, Thomas Stützle: Iterated Robust Tabu Search for MAX-SAT. Canadian Conference on AI 2003: 129-144

Dave A. D. Tompkins, Holger H. Hoos: Scaling and Probabilistic Smoothing: Dynamic Local Search for Unweighted MAX-SAT. Canadian Conference on AI 2003: 145-159

Alena Shmygelska, Holger H. Hoos: An Improved Ant Colony Optimisation Algorithm for the 2D HP Protein Folding Problem. Canadian Conference on AI 2003: 400-417

Dan C. Tulpan, Holger H. Hoos: Hybrid Randomised Neighbourhoods Improve Stochastic Local Search for DNA Code Design. Canadian Conference on AI 2003: 418-433

Ian P. Gent, Holger H. Hoos, Andrew G. D. Rowley, Kevin Smyth: Using Stochastic Local Search to Solve Quantified Boolean Formulae. CP 2003: 348-362

Andrew Tae-Jun Kwon, Holger H. Hoos, Raymond T. Ng: Inference of Transcriptional Regulation Relationships from Gene Expression Data. SAC 2003: 135-140

Holger H. Hoos: An Adaptive Noise Mechanism for WalkSAT. AAAI/IAAI 2002: 655-660

Holger H. Hoos: A Mixture-Model for the Behaviour of SLS Algorithms for SAT. AAAI/IAAI 2002: 661-667

Alena Shmygelska, Rosalía Aguirre-Hernández, Holger H. Hoos: An Ant Colony Optimization Algorithm for the 2D HP Protein Folding Problem. Ant Algorithms 2002: 40-53

Frank Hutter, Dave A. D. Tompkins, Holger H. Hoos: Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT. CP 2002: 233-248

Christine E. Heitsch, Anne Condon, Holger H. Hoos: From RNA Secondary Structure to Coding Theory: A Combinatorial Approach. DNA 2002: 215-228

Dan C. Tulpan, Holger H. Hoos, Anne Condon: Stochastic Local Search Algorithms for DNA Word Design. DNA 2002: 229-241

Jürgen Kilian, Holger H. Hoos: Voice Separation - A Local Optimization Approach. ISMIR 2002

Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari: AAAI 2000 Workshop Reports. AI Magazine 22(1): 127-136 (2001)

Thomas Stützle, Holger H. Hoos: Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. KI 15(1): 45-51 (2001)

Craig Boutilier, Holger H. Hoos: Bidding Languages for Combinatorial Auctions. IJCAI 2001: 1211-1217

Holger H. Hoos, Kai Renz, Marko Görg: GUIDO/MIR - an Experimental Musical Information Retrieval System based on GUIDO Music Notation. ISMIR 2001: 41-50

Thomas Stützle, Holger H. Hoos: MAX-MIN Ant System. Future Generation Comp. Syst. 16(8): 889-914 (2000)

Holger H. Hoos, Thomas Stützle: Local Search Algorithms for SAT: An Empirical Evaluation. J. Autom. Reasoning 24(4): 421-481 (2000)

Holger H. Hoos, Craig Boutilier: Solving Combinatorial Auctions Using Stochastic Local Search. AAAI/IAAI 2000: 22-29

Holger H. Hoos: Stochastic local search - methods, models, applications. DISKI 215, Infix 1999, isbn 978-3-89601-215-9, pp. I-X, 1-219

Holger H. Hoos, Thomas Stützle: Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artif. Intell. 112(1-2): 213-232 (1999)

Ian P. Gent, Holger H. Hoos, Patrick Prosser, Toby Walsh: Morphing: Combining Structure and Randomness. AAAI/IAAI 1999: 654-660

Holger H. Hoos: On the Run-time Behaviour of Stochastic Local Search Algorithms for SAT. AAAI/IAAI 1999: 661-666

Holger H. Hoos: SAT-Encodings, Search Space Structure, and Local Search Performance. IJCAI 1999: 296-303

Ronen I. Brafman, Holger H. Hoos: To Encode or Not to Encode - Linear Planning. IJCAI 1999: 988-995

Holger H. Hoos, Thomas Stützle: Systematic vs. Local Search for SAT. KI 1999: 289-293

Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole: Reasoning With Conditional Ceteris Paribus Preference Statements. UAI 1999: 71-80

Holger H. Hoos: Stochastic local search - methods, models, applications. TU Darmstadt 1998, pp. I-VI, 1-218

Holger H. Hoos, Thomas Stützle: Some Surprising Regularities in the Behaviour of Stochastic Local Search. CP 1998: 470

Holger H. Hoos, Thomas Stützle: Evaluating Las Vegas Algorithms: Pitfalls and Remedies. UAI 1998: 238-245

Holger H. Hoos: Solving Hard Combinatorial Problems with GSAT - A Case Study. KI 1996: 107-119

Antje Beeringer, Gerd Aschemann, Holger H. Hoos, Michael Metzger, Andreas Weiss: GSAT versus Simulated Annealing. ECAI 1994: 130-134