| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Vibhav Gogate, Pedro Domingos |
Approximation by Quantization  |
CoRR  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Sum-Product Networks: A New Deep Architecture |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, Pedro Domingos |
Formula-Based Probabilistic Inference |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, Pedro Domingos |
Probabilistic Theorem Proving |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro Domingos, Kristian Kersting, Xifeng Yan |
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. |
Machine Learning |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos, Sumit K. Sanghai, Daniel S. Weld |
Relational Dynamic Bayesian Networks |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Jesse Davis, Pedro Domingos |
Deep Transfer: A Markov Logic Approach. |
AI Magazine |
2011 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, Pedro Domingos |
Probabilistic Theorem Proving. |
UAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, Pedro Domingos |
Approximation by Quantization. |
UAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Sum-Product Networks: A New Deep Architecture. |
UAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Sum-product networks: A new deep architecture. |
ICCV Workshops |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Chloe Kiddon, Pedro Domingos |
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models. |
AAAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Unsupervised Ontology Induction from Text. |
ACL |
2010 |
DBLP BibTeX RDF |
|
| 1 | Jesse Davis, Pedro Domingos |
Bottom-Up Learning of Markov Network Structure. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | Stanley Kok, Pedro Domingos |
Learning Markov Logic Networks Using Structural Motifs. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, Pedro Domingos |
Formula-Based Probabilistic Inference. |
UAI |
2010 |
DBLP BibTeX RDF |
|
| 1 | Aniruddh Nath, Pedro Domingos |
Efficient Belief Propagation for Utility Maximization and Repeated Inference. |
AAAI |
2010 |
DBLP BibTeX RDF |
|
| 1 | Aniruddh Nath, Pedro Domingos |
Efficient Lifting for Online Probabilistic Inference. |
AAAI |
2010 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Machine Reading: A "Killer App" for Statistical Relational AI. |
Statistical Relational Artificial Intelligence |
2010 |
DBLP BibTeX RDF |
|
| 1 | Parag Singla, Aniruddh Nath, Pedro Domingos |
Approximate Lifted Belief Propagation. |
Statistical Relational Artificial Intelligence |
2010 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, Pedro Domingos |
Exploiting Logical Structure in Lifted Probabilistic Inference. |
Statistical Relational Artificial Intelligence |
2010 |
DBLP BibTeX RDF |
|
| 1 | Chloe Kiddon, Pedro Domingos |
Leveraging Ontologies for Lifted Probabilistic Inference and Learning. |
Statistical Relational Artificial Intelligence |
2010 |
DBLP BibTeX RDF |
|
| 1 | Aniruddh Nath, Pedro Domingos |
Efficient Lifting for Online Probabilistic Inference. |
Statistical Relational Artificial Intelligence |
2010 |
DBLP BibTeX RDF |
|
| 1 | Stanley Kok, Pedro Domingos |
Using Structural Motifs for Learning Markov Logic Networks. |
Statistical Relational Artificial Intelligence |
2010 |
DBLP BibTeX RDF |
|
| 1 | Daniel Lowd, Pedro Domingos |
Approximate Inference by Compilation to Arithmetic Circuits. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Vibhav Gogate, William Austin Webb, Pedro Domingos |
Learning Efficient Markov Networks. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Daniel Lowd |
Markov Logic: An Interface Layer for Artificial Intelligence |
|
2009 |
DOI RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Unsupervised Semantic Parsing. |
EMNLP |
2009 |
DBLP BibTeX RDF |
|
| 1 | Stanley Kok, Pedro Domingos |
Learning Markov logic network structure via hypergraph lifting. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Jesse Davis, Pedro Domingos |
Deep transfer via second-order Markov logic. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 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 | Stanley Kok, Pedro Domingos |
Extracting Semantic Networks from Text Via Relational Clustering. |
ECML/PKDD |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Joint Unsupervised Coreference Resolution with Markov Logic. |
EMNLP |
2008 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang |
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. |
SSPR/SPR |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniel Lowd, Pedro Domingos |
Learning Arithmetic Circuits. |
UAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
Just Add Weights: Markov Logic for the Semantic Web. |
URSW (LNCS Vol.) |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla |
Markov Logic. |
Probabilistic Inductive Logic Programming |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Parag Singla, Pedro Domingos |
Lifted First-Order Belief Propagation. |
AAAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos, Marc Sumner |
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC. |
AAAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Jue Wang, Pedro Domingos |
Hybrid Markov Logic Networks. |
AAAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos |
Markov logic: a unifying language for knowledge and information management. |
CIKM |
2008 |
DBLP DOI BibTeX RDF |
markov logic, first-order logic, markov networks |
| 1 | Pedro Domingos |
Toward knowledge-rich data mining. |
Data Min. Knowl. Discov. |
2007 |
DBLP DOI BibTeX RDF |
Markov logic, Markov random fields, First-order logic |
| 1 | Daniel Lowd, Pedro Domingos |
Efficient Weight Learning for Markov Logic Networks. |
PKDD |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniel Lowd, Pedro Domingos |
Recursive Random Fields. |
IJCAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Parag Singla |
Markov Logic in Infinite Domains. |
Probabilistic, Logical and Relational Learning - A Further Synthesis |
2007 |
DBLP BibTeX RDF |
|
| 1 | Stanley Kok, Pedro Domingos |
Statistical predicate invention. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Parag Singla, Pedro Domingos |
Markov Logic in Infinite Domains. |
UAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Joint Inference in Information Extraction. |
AAAI |
2007 |
DBLP BibTeX RDF |
|
| 1 | Matthew Richardson, Pedro Domingos |
Markov logic networks. |
Machine Learning |
2006 |
DBLP DOI BibTeX RDF |
Knowledge-based model construction, Pseudo-likelihood, Markov random fields, Satisfiability, First-order logic, Graphical models, Markov chain Monte Carlo, Inductive logic programming, Link prediction, Statistical relational learning, Markov networks, Log-linear models |
| 1 | Parag Singla, Pedro Domingos |
Entity Resolution with Markov Logic. |
ICDM |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos |
Learning, Logic, and Probability: A Unified View. |
IBERAMIA-SBIA |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos |
Learning, Logic, and Probability: A Unified View. |
PRICAI |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Parag Singla, Pedro Domingos |
Memory-Efficient Inference in Relational Domains. |
AAAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
Unifying Logical and Statistical AI. |
AAAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Hoifung Poon, Pedro Domingos |
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies. |
AAAI |
2006 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos |
Learning, Logic, and Probability: A Unified View. |
EKAW |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann Luperfoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert L. Popp, Daniel G. Shapiro, Nathan Schurr, Push Singh, John Yen |
Reports on the 2005 AAAI Spring Symposium Series. |
AI Magazine |
2005 |
DBLP BibTeX RDF |
|
| 1 | Steffen Staab, Pedro Domingos, Peter Mika, Jennifer Golbeck, Li Ding, Timothy W. Finin, Anupam Joshi, Andrzej Nowak, Robin R. Vallacher |
Social Networks Applied. |
IEEE Intelligent Systems |
2005 |
DBLP DOI BibTeX RDF |
friend of a friend, ontology, Semantic Web, social networks, network topology |
| 1 | Parag Singla, Pedro Domingos |
Object Identification with Attribute-Mediated Dependences. |
PKDD |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos, Fernando M. Silva, Horácio C. Neto |
An Efficient and Scalable Architecture for Neural Networks with Backpropagation Learning. |
FPL |
2005 |
DBLP BibTeX RDF |
|
| 1 | Parag Singla, Pedro Domingos |
Collective Object Identification. |
IJCAI |
2005 |
DBLP BibTeX RDF |
|
| 1 | Timothy Chklovski, Pedro Domingos, Henry Lieberman, Rada Mihalcea, Push Singh |
Organizing Committee. |
AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors |
2005 |
DBLP BibTeX RDF |
|
| 1 | Stanley Kok, Pedro Domingos |
Learning the structure of Markov logic networks. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniel Lowd, Pedro Domingos |
Naive Bayes models for probability estimation. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Parag Singla, Pedro Domingos |
Discriminative Training of Markov Logic Networks. |
AAAI |
2005 |
DBLP BibTeX RDF |
|
| 1 | Matthew Richardson, Pedro Domingos |
Combining Link and Content Information in Web Search. |
Web Dynamics |
2004 |
DBLP BibTeX RDF |
|
| 1 | AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon Y. Halevy |
Ontology Matching: A Machine Learning Approach. |
Handbook on Ontologies |
2004 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos |
Real-World Learning with Markov Logic Networks. |
PKDD |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos |
Real-World Learning with Markov Logic Networks. |
ECML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Robin Dhamankar, Yoonkyong Lee, AnHai Doan, Alon Y. Halevy, Pedro Domingos |
iMAP: Discovering Complex Mappings between Database Schemas. |
SIGMOD Conference |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniel Grossman, Pedro Domingos |
Learning Bayesian network classifiers by maximizing conditional likelihood. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos |
Learning, Logic, and Probability: A Unified View. |
ALT |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos |
Learning, Logic, and Probability: A Unified View. |
ILP |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. Sanghai, Deepak Verma |
Adversarial classification. |
KDD |
2004 |
DBLP DOI BibTeX RDF |
game theory, integer linear programming, naive Bayes, cost-sensitive learning, spam detection |
| 1 | AnHai Doan, Pedro Domingos, Alon Y. Halevy |
Learning to Match the Schemas of Data Sources: A Multistrategy Approach. |
Machine Learning |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Tessa A. Lau, Steven A. Wolfman, Pedro Domingos, Daniel S. Weld |
Programming by Demonstration Using Version Space Algebra. |
Machine Learning |
2003 |
DBLP DOI BibTeX RDF |
complex function learning, programming by demonstration, adaptive user interfaces, version spaces |
| 1 | Foster J. Provost, Pedro Domingos |
Tree Induction for Probability-Based Ranking. |
Machine Learning |
2003 |
DBLP DOI BibTeX RDF |
Laplace correction, classification, decision trees, ranking, bagging, cost-sensitive learning, probability estimation |
| 1 | AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedro Domingos, Alon Y. Halevy |
Learning to match ontologies on the Semantic Web. |
VLDB J. |
2003 |
DBLP DOI BibTeX RDF |
Machine learning, Semantic Web, Ontology matching, Relaxation labeling |
| 1 | Pedro Domingos |
Prospects and challenges for multi-relational data mining. |
SIGKDD Explorations |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos, Matthew Richardson |
Learning from Networks of Examples. |
EPIA |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniel S. Weld, Corin R. Anderson, Pedro Domingos, Oren Etzioni, Krzysztof Gajos, Tessa A. Lau, Steven A. Wolfman |
Automatically Personalizing User Interfaces. |
IJCAI |
2003 |
DBLP BibTeX RDF |
|
| 1 | Tessa A. Lau, Pedro Domingos, Daniel S. Weld |
Learning programs from traces using version space algebra. |
K-CAP |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthew Richardson, Pedro Domingos |
Building large knowledge bases by mass collaboration. |
K-CAP |
2003 |
DBLP DOI BibTeX RDF |
AI architectures, collective knowledge bases, machine learning, knowledge acquisition, knowledge engineering |
| 1 | Matthew Richardson, Pedro Domingos |
Learning with Knowledge from Multiple Experts. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | Matthew Richardson, Rakesh Agrawal, Pedro Domingos |
Trust Management for the Semantic Web. |
International Semantic Web Conference |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Lise Getoor, Ted E. Senator, Pedro Domingos, Christos Faloutsos (eds.) |
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003 |
KDD |
2003 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos |
When and How to Subsample: Report on the KDD-2001 Panel. |
SIGKDD Explorations |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon Y. Halevy |
Learning to map between ontologies on the semantic web. |
WWW |
2002 |
DBLP DOI BibTeX RDF |
machine learning, semantic web, ontology mapping, relaxation labeling |
| 1 | Jayant Madhavan, Philip A. Bernstein, Pedro Domingos, Alon Y. Halevy |
Representing and Reasoning about Mappings between Domain Models. |
AAAI/IAAI |
2002 |
DBLP BibTeX RDF |
|
| 1 | Geoff Hulten, Pedro Domingos |
Mining complex models from arbitrarily large databases in constant time. |
KDD |
2002 |
DBLP DOI BibTeX RDF |
discrete search, scalable learning algorithms, Bayesian networks, subsampling, Hoeffding bounds |
| 1 | Corin R. Anderson, Pedro Domingos, Daniel S. Weld |
Relational Markov models and their application to adaptive web navigation. |
KDD |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Matthew Richardson, Pedro Domingos |
Mining knowledge-sharing sites for viral marketing. |
KDD |
2002 |
DBLP DOI BibTeX RDF |
social networks, probabilistic models, knowledge sharing, linear models, viral marketing, direct marketing |
| 1 | Corin R. Anderson, Pedro Domingos, Daniel S. Weld |
Adaptive Web Navigation for Wireless Devices. |
IJCAI |
2001 |
DBLP BibTeX RDF |
|
| 1 | Corin R. Anderson, Pedro Domingos, Daniel S. Weld |
Personalizing Web Sites for Mobile Users. |
WWW |
2001 |
DBLP DOI BibTeX RDF |
World Wide Web (WWW) |
| 1 | AnHai Doan, Pedro Domingos, Alon Y. Halevy |
Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach. (PDF / PS) |
SIGMOD Conference |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Pedro Domingos, Geoff Hulten |
A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering. |
ICML |
2001 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Geoff Hulten |
Catching up with the Data: Research Issues in Mining Data Streams. |
DMKD |
2001 |
DBLP BibTeX RDF |
|
| 1 | Steven A. Wolfman, Tessa A. Lau, Pedro Domingos, Daniel S. Weld |
Mixed initiative interfaces for learning tasks: SMARTedit talks back. |
IUI |
2001 |
DBLP DOI BibTeX RDF |
machine learning applications, programming by demonstration, mixed initiative |
| 1 | Matthew Richardson, Pedro Domingos |
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Pedro Domingos, Geoff Hulten |
Learning from Infinite Data in Finite Time. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
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