| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, Walker Orr, Thomas G. Dietterich, Xiaoli Fern, Prasad Tadepalli, Jed Irvine |
Learning Rules from Incomplete Examples via Implicit Mention Models.  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Ethan W. Dereszynski, Thomas G. Dietterich |
Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns. |
TOSN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Valentina Bayer Zubek, Thomas G. Dietterich |
Integrating Learning from Examples into the Search for Diagnostic Policies |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Xinlong Bao, Thomas G. Dietterich |
FolderPredictor: Reducing the cost of reaching the right folder. |
ACM TIST |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich |
Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. |
AI Magazine |
2011 |
DBLP BibTeX RDF |
|
| 1 | Ethan W. Dereszynski, Jesse Hostetler, Alan Fern, Thomas G. Dietterich, Thao-Trang Hoang, Mark Udarbe |
Learning Probabilistic Behavior Models in Real-Time Strategy Games. |
AIIDE |
2011 |
DBLP BibTeX RDF |
|
| 1 | Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich |
Incorporating Boosted Regression Trees into Ecological Latent Variable Models. |
AAAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Daniel R. Sheldon, Thomas G. Dietterich |
Collective Graphical Models. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, Walker Orr, Prasad Tadepalli, Xiaoli Fern |
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Paul Barford, Marc Dacier, Thomas G. Dietterich, Matt Fredrikson, Jonathon T. Giffin, Sushil Jajodia, Somesh Jha, Jason H. Li, Peng Liu, Peng Ning, Xinming Ou, D. Song, Laura Strater, Vipin Swarup, George P. Tadda, C. Wang, John Yen |
Cyber SA: Situational Awareness for Cyber Defense. |
Cyber Situational Awareness |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Xinlong Bao, Victoria Keiser, Jianqiang Shen |
Machine Learning Methods for High Level Cyber Situation Awareness. |
Cyber Situational Awareness |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Natalia Larios, B. Soran, Linda G. Shapiro, Gonzalo Martínez-Muñoz, J. Lin, Thomas G. Dietterich |
Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification. |
ICPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Carlos Jensen, Heather Lonsdale, Eleanor Wynn, Jill Cao, Michael Slater, Thomas G. Dietterich |
The life and times of files and information: a study of desktop provenance. |
CHI |
2010 |
DBLP DOI BibTeX RDF |
documents, provenance, file organization, desktop search |
| 1 | Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Dietterich |
Reinforcement Learning Via Practice and Critique Advice. |
AAAI |
2010 |
DBLP BibTeX RDF |
|
| 1 | Simone Stumpf, Vidya Rajaram, Lida Li, Weng-Keen Wong, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Jonathan L. Herlocker |
Interacting meaningfully with machine learning systems: Three experiments. |
Int. J. Hum.-Comput. Stud. |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Jianqiang Shen, Thomas G. Dietterich |
A family of large margin linear classifiers and its application in dynamic environments. |
Statistical Analysis and Data Mining |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Machine Learning in Ecosystem Informatics and Sustainability. |
IJCAI |
2009 |
DBLP BibTeX RDF |
|
| 1 | Jianqiang Shen, Thomas G. Dietterich |
A Family of Large Margin Linear Classifiers and Its Application in Dynamic Environments. |
SDM |
2009 |
DBLP BibTeX RDF |
|
| 1 | Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Anton Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread |
An Ensemble Learning and Problem Solving Architecture for Airspace Management. |
IAAI |
2009 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Machine Learning and Ecosystem Informatics: Challenges and Opportunities. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Zhang 0014, Akshat Surve, Xiaoli Fern, Thomas G. Dietterich |
Learning non-redundant codebooks for classifying complex objects. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Gonzalo Martínez-Muñoz, Natalia Larios Delgado, Eric N. Mortensen, Wei Zhang 0014, Asako Yamamuro, Robert Paasch, Nadia Payet, David A. Lytle, Linda G. Shapiro, Sinisa Todorovic, Andrew Moldenke, Thomas G. Dietterich |
Dictionary-free categorization of very similar objects via stacked evidence trees. |
CVPR |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Jianqiang Shen, Erin Fitzhenry, Thomas G. Dietterich |
Discovering frequent work procedures from resource connections. |
IUI |
2009 |
DBLP DOI BibTeX RDF |
data mining, workflow, resource management, provenance, intelligent interfaces, automated assistance |
| 1 | Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael Goodman, Stephen Kolibaba, Anh Tran, Fredric Carl, Brenton Kirschner, Simone Stumpf, Thomas G. Dietterich |
Detecting and correcting user activity switches: algorithms and interfaces. |
IUI |
2009 |
DBLP DOI BibTeX RDF |
resource management, online learning, activity recognition |
| 1 | Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli |
Structured machine learning: the next ten years. |
Machine Learning |
2008 |
DBLP DOI BibTeX RDF |
Structured machine learning, Inductive logic programming, Relational learning, Statistical relational learning |
| 1 | Natalia Larios, Hongli Deng, Wei Zhang 0014, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Salvador Ruiz-Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich |
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects. |
Mach. Vis. Appl. |
2008 |
DBLP DOI BibTeX RDF |
Interest operators, Region detectors, Classification, Object recognition, SIFT descriptor |
| 1 | Sriraam Natarajan, Prasad Tadepalli, Thomas G. Dietterich, Alan Fern |
Learning first-order probabilistic models with combining rules. |
Ann. Math. Artif. Intell. |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classification (2000) 03B48 |
| 1 | Michael Wynkoop, Thomas G. Dietterich |
Learning MDP Action Models Via Discrete Mixture Trees. |
ECML/PKDD |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Zhang 0014, Thomas G. Dietterich |
Learning visual dictionaries and decision lists for object recognition. |
ICPR |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton (eds.) |
Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04. - 20.04.2007 |
Probabilistic, Logical and Relational Learning - A Further Synthesis |
2008 |
DBLP BibTeX RDF |
|
| 1 | Neville Mehta, Soumya Ray, Prasad Tadepalli, Thomas G. Dietterich |
Automatic discovery and transfer of MAXQ hierarchies. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Xinlong Bao |
Integrating Multiple Learning Components through Markov Logic. |
AAAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman |
AAAI-07 Workshop Reports. |
AI Magazine |
2007 |
DBLP BibTeX RDF |
|
| 1 | Jianqiang Shen, Lida Li, Thomas G. Dietterich |
Real-Time Detection of Task Switches of Desktop Users. |
IJCAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Natalia Larios, Hongli Deng, Wei Zhang 0014, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Ruiz Correa, Eric N. Mortensen, Linda G. Shapiro, Thomas G. Dietterich |
Automated Insect Identification through Concatenated Histograms of Local Appearance Features. |
WACV |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Simone Stumpf, Margaret M. Burnett, Thomas G. Dietterich |
Improving Intelligent Assistants for Desktop Activities. |
Interaction Challenges for Intelligent Assistants |
2007 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Kristian Kersting, Stephen Muggleton |
07161 Abstracts Collection -- Probabilistic, Logical and Relational Learning - A Further Synthesis. |
Probabilistic, Logical and Relational Learning - A Further Synthesis |
2007 |
DBLP BibTeX RDF |
|
| 1 | Hongli Deng, Wei Zhang 0014, Eric N. Mortensen, Thomas G. Dietterich, Linda G. Shapiro |
Principal Curvature-Based Region Detector for Object Recognition. |
CVPR |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Machine Learning in Ecosystem Informatics. |
ALT |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ethan W. Dereszynski, Thomas G. Dietterich |
Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams. |
UAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Simone Stumpf, Vidya Rajaram, Lida Li, Margaret M. Burnett, Thomas G. Dietterich, Erin Sullivan, Russell Drummond, Jonathan L. Herlocker |
Toward harnessing user feedback for machine learning. |
IUI |
2007 |
DBLP DOI BibTeX RDF |
user feedback for learning, machine learning, explanations |
| 1 | Jianqiang Shen, Thomas G. Dietterich |
Active EM to reduce noise in activity recognition. |
IUI |
2007 |
DBLP DOI BibTeX RDF |
machine learning, active learning, noise, expectation-maximization, intelligent interface |
| 1 | Thomas G. Dietterich |
Machine Learning in Ecosystem Informatics. |
Discovery Science |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Zhang 0014, Hongli Deng, Thomas G. Dietterich, Eric N. Mortensen |
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions. |
ICPR |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton (eds.) |
Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January - 4. February 2005 |
Probabilistic, Logical and Relational Learning |
2006 |
DBLP BibTeX RDF |
|
| 1 | Jianqiang Shen, Lida Li, Thomas G. Dietterich, Jonathan L. Herlocker |
A hybrid learning system for recognizing user tasks from desktop activities and email messages. |
IUI |
2006 |
DBLP DOI BibTeX RDF |
machine learning, support vector machines, intelligent interfaces, naive Bayes |
| 1 | Xinlong Bao, Jonathan L. Herlocker, Thomas G. Dietterich |
Fewer clicks and less frustration: reducing the cost of reaching the right folder. |
IUI |
2006 |
DBLP DOI BibTeX RDF |
machine learning, user interface, prediction, recommendation, tasks, activities, intelligent user interfaces, directories, shortcuts, folders |
| 1 | Valentina Bayer Zubek, Thomas G. Dietterich |
Integrating Learning from Examples into the Search for Diagnostic Policies. |
J. Artif. Intell. Res. (JAIR) |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton |
05051 Executive Summary - Probabilistic, Logical and Relational Learning - Towards a Synthesis. |
Probabilistic, Logical and Relational Learning |
2005 |
DBLP BibTeX RDF |
|
| 1 | Luc De Raedt, Thomas G. Dietterich, Lise Getoor, Stephen Muggleton |
05051 Abstracts Collection - Probabilistic, Logical and Relational Learning - Towards a Synthesis. |
Probabilistic, Logical and Relational Learning |
2005 |
DBLP BibTeX RDF |
|
| 1 | Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo C. Restificar |
Learning first-order probabilistic models with combining rules. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Eric Altendorf, Angelo C. Restificar, Thomas G. Dietterich |
Learning from Sparse Data by Exploiting Monotonicity Constraints. |
UAI |
2005 |
DBLP BibTeX RDF |
|
| 1 | Simone Stumpf, Xinlong Bao, Anton N. Dragunov, Thomas G. Dietterich, Jonathan L. Herlocker, Kevin Johnsrude, Lida Li, Jianqiang Shen |
The TaskTracker System. |
AAAI |
2005 |
DBLP BibTeX RDF |
|
| 1 | Anton N. Dragunov, Thomas G. Dietterich, Kevin Johnsrude, Matthew R. McLaughlin, Lida Li, Jonathan L. Herlocker |
TaskTracer: a desktop environment to support multi-tasking knowledge workers. |
IUI |
2005 |
DBLP DOI BibTeX RDF |
machine learning, user interface, knowledge management, multitasking, activity monitoring |
| 1 | Giorgio Valentini, Thomas G. Dietterich |
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods. |
Journal of Machine Learning Research |
2004 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov |
Training conditional random fields via gradient tree boosting. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Pengcheng Wu, Thomas G. Dietterich |
Improving SVM accuracy by training on auxiliary data sources. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Giorgio Valentini, Thomas G. Dietterich |
Low Bias Bagged Support Vector Machines. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | Xin Wang 0010, Thomas G. Dietterich |
Model-based Policy Gradient Reinforcement Learning. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | Dídac Busquets, Ramon López de Mántaras, Carles Sierra, Thomas G. Dietterich |
A Multi-agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation. |
CCIA |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Giorgio Valentini, Thomas G. Dietterich |
Bias-Variance Analysis and Ensembles of SVM. |
Multiple Classifier Systems |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Machine Learning for Sequential Data: A Review. |
SSPR/SPR |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Dídac Busquets, Ramon López de Mántaras, Carles Sierra |
Action Refinement in Reinforcement Learning by Probability Smoothing. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Valentina Bayer Zubek, Thomas G. Dietterich |
Pruning Improves Heuristic Search for Cost-Sensitive Learning. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Xin Wang 0010 |
Support Vectors for Reinforcement Learning. |
PKDD |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Xin Wang 0010 |
Support Vectors for Reinforcement Learning. |
ECML |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani (eds.) |
Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada] |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Todd K. Leen, Thomas G. Dietterich, Volker Tresp (eds.) |
Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Xin Wang 0010 |
Batch Value Function Approximation via Support Vectors. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Xin Wang 0010, Thomas G. Dietterich |
Stabilizing Value Function Approximation with the BFBP Algorithm. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. |
Machine Learning |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition. |
J. Artif. Intell. Res. (JAIR) |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
An Overview of MAXQ Hierarchical Reinforcement Learning. |
SARA |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Ensemble Methods in Machine Learning. |
Multiple Classifier Systems |
2000 |
DBLP BibTeX RDF |
|
| 1 | Eric Chown, Thomas G. Dietterich |
A Divide and Conquer Approach to Learning from Prior Knowledge. |
ICML |
2000 |
DBLP BibTeX RDF |
|
| 1 | Dragos D. Margineantu, Thomas G. Dietterich |
Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. |
ICML |
2000 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
The Divide-and-Conquer Manifesto. |
ALT |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Valentina Bayer Zubek, Thomas G. Dietterich |
A POMDP Approximation Algorithm That Anticipates the Need to Observe. |
PRICAI |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Tony Fountain, Thomas G. Dietterich, Bill Sudyka |
Mining IC test data to optimize VLSI testing. |
KDD |
2000 |
DBLP DOI BibTeX RDF |
unsupervised learning, EM algorithm, decision theory, belief networks, real-time control, IC test |
| 1 | Thomas G. Dietterich |
State Abstraction in MAXQ Hierarchical Reinforcement Learning |
CoRR |
1999 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition |
CoRR |
1999 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
State Abstraction in MAXQ Hierarchical Reinforcement Learning. |
NIPS |
1999 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms. |
Neural Computation |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
The MAXQ Method for Hierarchical Reinforcement Learning. |
ICML |
1998 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Nicholas S. Flann |
Explanation-Based Learning and Reinforcement Learning: A Unified View. |
Machine Learning |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Richard H. Lathrop, Tomás Lozano-Pérez |
Solving the Multiple Instance Problem with Axis-Parallel Rectangles. |
Artif. Intell. |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Machine-Learning Research. |
AI Magazine |
1997 |
DBLP BibTeX RDF |
|
| 1 | Prasad Tadepalli, Thomas G. Dietterich |
Hierarchical Explanation-Based Reinforcement Learning. |
ICML |
1997 |
DBLP BibTeX RDF |
|
| 1 | Dragos D. Margineantu, Thomas G. Dietterich |
Pruning Adaptive Boosting. |
ICML |
1997 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Editorial. |
Machine Learning |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Machine Learning. |
ACM Comput. Surv. |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Michael J. Kearns, Yishay Mansour |
Applying the Waek Learning Framework to Understand and Improve C4.5. |
ICML |
1996 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Hermann Hild, Ghulum Bakiri |
A Comparison of ID3 and Backpropagation for English Text-to-Speech Mapping. |
Machine Learning |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Dietrich Wettschereck, Thomas G. Dietterich |
An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. |
Machine Learning |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Ghulum Bakiri |
Solving Multiclass Learning Problems via Error-Correcting Output Codes |
CoRR |
1995 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Ghulum Bakiri |
Solving Multiclass Learning Problems via Error-Correcting Output Codes. |
J. Artif. Intell. Res. (JAIR) |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas G. Dietterich |
Overfitting and Undercomputing in Machine Learning. |
ACM Comput. Surv. |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Zhang 0015, Thomas G. Dietterich |
A Reinforcement Learning Approach to job-shop Scheduling. |
IJCAI |
1995 |
DBLP BibTeX RDF |
|
| 1 | Eun Bae Kong, Thomas G. Dietterich |
Error-Correcting Output Coding Corrects Bias and Variance. |
ICML |
1995 |
DBLP BibTeX RDF |
|
| 1 | Thomas G. Dietterich, Nicholas S. Flann |
Explanation-Based Learning and Reinforcement Learning: A Unified View. |
ICML |
1995 |
DBLP BibTeX RDF |
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