• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 92 matches

• 2014
• 
  Udi Apsel, Kristian Kersting, Martin Mladenov:
  Lifting Relational MAP-LPs using Cluster Signatures. StarAI@AAAI 2014
• 
  Islam Beltagy, Raymond J. Mooney:
  Efficient Markov Logic Inference for Natural Language Semantics. StarAI@AAAI 2014
• 
  Guy Van den Broeck, Kristian Kersting, Sriraam Natarajan, David Poole:
  Preface. StarAI@AAAI 2014
• 
  Ismail Ilkan Ceylan, Rafael Peñaloza:
  Reasoning in the Description Logic BEL Using Bayesian Networks. StarAI@AAAI 2014
• 
  Jaesik Choi, Eyal Amir, Tianfang Xu, Albert J. Valocchi:
  Parameter Estimation for Relational Kalman Filtering. StarAI@AAAI 2014
• 
  Matthew C. Dirks, Andrew Csinger, Andrew Bamber, David Poole:
  Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain. StarAI@AAAI 2014
• 
  Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock:
  Extending PSL with Fuzzy Quantifiers. StarAI@AAAI 2014
• 
  Eric Gribkoff, Guy Van den Broeck, Dan Suciu:
  Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting. StarAI@AAAI 2014
• 
  Seyed Mehran Kazemi, David Buchman, Kristian Kersting, Sriraam Natarajan, David Poole:
  Relational Logistic Regression: The Directed Analog of Markov Logic Networks. StarAI@AAAI 2014
• 
  Tushar Khot, Sriraam Natarajan, Jude W. Shavlik:
  Classification from One Class of Examples for Relational Domains. StarAI@AAAI 2014
• 
  Junkyu Lee, Radu Marinescu, Rina Dechter:
  Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results. StarAI@AAAI 2014
• 
  Daniel Lowd, Brenton Lessley, Mino De Raj:
  Towards Adversarial Reasoning in Statistical Relational Domains. StarAI@AAAI 2014
• 
  Sriraam Natarajan:
  Organizers. StarAI@AAAI 2014
• 
  Aniruddh Nath, Pedro M. Domingos:
  Automated Debugging with Tractable Probabilistic Programming. StarAI@AAAI 2014
• 
  Aniruddh Nath, Pedro M. Domingos:
  Learning Tractable Statistical Relational Models. StarAI@AAAI 2014
• 
  Mathias Niepert, Pedro M. Domingos:
  Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond. StarAI@AAAI 2014
• 
  Masaaki Nishino, Akihiro Yamamoto, Masaaki Nagata:
  A Sparse Parameter Learning Method for Probabilistic Logic Programs. StarAI@AAAI 2014
• 
  Shrutika Poyrekar, Sriraam Natarajan, Kristian Kersting:
  A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck. StarAI@AAAI 2014
• 
  Joris Renkens, Angelika Kimmig, Guy Van den Broeck, Luc De Raedt:
  Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics. StarAI@AAAI 2014
• 
  Fatemeh Riahi, Oliver Schulte, Qing Li:
  A Proposal for Statistical Outlier Detection in Relational Structures. StarAI@AAAI 2014
• 
  Sebastian Riedel, Sameer Singh, Vivek Srikumar, Tim Rocktäschel, Larysa Visengeriyeva, Jan Noessner:
  WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming. StarAI@AAAI 2014
• 
  Brian E. Ruttenberg, Matthew P. Wilkins, Avi Pfeffer:
  Hierarchical Reasoning with Probabilistic Programming. StarAI@AAAI 2014
• 
  Zhengya Sun, Zhuoyu Wei, Jue Wang, Hongwei Hao:
  Scalable Learning for Structure in Markov Logic Networks. StarAI@AAAI 2014
• 
  Deepak Venugopal, Vibhav Gogate:
  Evidence-Based Clustering for Scalable Inference in Markov Logic. StarAI@AAAI 2014
• 
  Mihaela Verman, Philip Stutz, Abraham Bernstein:
  Solving Distributed Constraint Optimization Problems Using Ranks. StarAI@AAAI 2014
• 
  Jonas Vlasselaer, Wannes Meert, Guy Van den Broeck, Luc De Raedt:
  Efficient Probabilistic Inference for Dynamic Relational Models. StarAI@AAAI 2014
• 
  William Yang Wang, Kathryn Mazaitis, William W. Cohen:
  ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. StarAI@AAAI 2014
• 
  Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014. AAAI Technical Report WS-14-13, AAAI 2014 [contents]
• 2013
• 
  Babak Ahmadi, Kristian Kersting, Sriraam Natarajan:
  MapReduce Lifting for Belief Propagation. StarAI@AAAI 2013
• 
  Guy Van den Broeck:
  On the Complexity and Approximation of Binary Evidence in Lifted Inference. StarAI@AAAI 2013

skipping 62 more matches