Bryan Kisiel

Publication Activity (10 Years)

Years Active: 2003-2018
Publications (10 Years): 2

Top Topics

Inductive Inference

Boltzmann Machine

Active Learning

Data Sparseness

Top Venues

Publications

Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
Never-ending learning. Commun. ACM 61 (5) (2018)
Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC (2016)
Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
CMUML System for KBP 2015 Cold Start Slot Filling. TAC (2015)
Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
Never-Ending Learning. AAAI (2015)
Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell
Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. EMNLP (2013)
Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell
CMUML System for KBP 2013 Slot Filling. TAC (2013)
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell
Toward an Architecture for Never-Ending Language Learning. AAAI (2010)
Yiming Yang, Abhimanyu Lad, Henry Shu, Bryan Kisiel, Chad M. Cumby, Rayid Ghani, Katharina Probst
Graph Structure Learning for Task Ordering. ICEIS (2) (2009)
Abhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel
Toward Optimal Ordering of Prediction Tasks. SDM (2009)
Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati
Utility-based information distillation over temporally sequenced documents. SIGIR (2007)
Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel
Robustness of adaptive filtering methods in a cross-benchmark evaluation. SIGIR (2005)
Yiming Yang, Monica Rogati, Bryan Kisiel
Combining Categorization-based and Corpus-based Approaches for CLIR. FLAIRS Conference (2005)
Yiming Yang, Jian Zhang, Bryan Kisiel
A scalability analysis of classifiers in text categorization. SIGIR (2003)
Yiming Yang, Bryan Kisiel
Margin-based local regression for adaptive filtering. CIKM (2003)