Lilyana Mihalkova

Publication Activity (10 Years)

Years Active: 2003-2015
Publications (10 Years): 0

Top Topics

Graphical Models

Belief Networks

Top Venues

Publications

Angelika Kimmig, Lilyana Mihalkova, Lise Getoor
Lifted graphical models: a survey. Mach. Learn. 99 (1) (2015)
Matthias Bröcheler, Lilyana Mihalkova, Lise Getoor
Probabilistic Similarity Logic CoRR (2012)
Lise Getoor, Lilyana Mihalkova
Learning statistical models from relational data. SIGMOD Conference (2011)
Lise Getoor, Lilyana Mihalkova
Exploiting statistical and relational information on the web and in social media. WSDM (2011)
Lilyana Mihalkova, Lise Getoor
Lifted Graphical Models: A Survey CoRR (2011)
Lilyana Mihalkova, Walaa Eldin Moustafa
Structure Selection from Streaming Relational Data CoRR (2011)
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
Active Learning for Networked Data. ICML (2010)
David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31 (4) (2010)
Matthias Bröcheler, Lilyana Mihalkova, Lise Getoor
Probabilistic Similarity Logic. UAI (2010)
Lilyana Mihalkova, Raymond J. Mooney
Learning to Disambiguate Search Queries from Short Sessions. ECML/PKDD (2) (2009)
Lilyana Mihalkova, Raymond J. Mooney
Transfer Learning from Minimal Target Data by Mapping across Relational Domains. IJCAI (2009)
Lilyana Mihalkova, Matthew Richardson
Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. ILP (2009)
Lilyana Mihalkova, Raymond J. Mooney
Bottom-up learning of Markov logic network structure. ICML (2007)
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney
Mapping and Revising Markov Logic Networks for Transfer Learning. AAAI (2007)
Lilyana Mihalkova, Raymond J. Mooney
Using Active Relocation to Aid Reinforcement Learning. FLAIRS Conference (2006)
Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney
Experiments on Ensembles with Missing and Noisy Data. Multiple Classifier Systems (2004)
Michael J. Jipping, Agata Bugaj, Lilyana Mihalkova, Donald E. Porter
Using Java to teach networking concepts with a programmable network sniffer. SIGCSE (2003)