James L. Carroll

Publication Activity (10 Years)

Years Active: 2001-2012
Publications (10 Years): 0

Top Topics

Statistical Modeling

Forward And Backward

Artificial Neural Networks

Top Venues

Publications

James L. Carroll, Christopher D. Tomkins
Physics-Based Constraints in the Forward Modeling Analysis of Time-Correlated Image Data. ICMLA (1) (2012)
Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez
Turning Bayesian model averaging into Bayesian model combination. IJCNN (2011)
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, James L. Carroll, Peter McClanahan
Assessing the Costs of Sampling Methods in Active Learning for Annotation. ACL (2) (2008)
Eric K. Ringger, Marc Carmen, Robbie Haertel, Kevin D. Seppi, Deryle Lonsdale, Peter McClanahan, James L. Carroll, Noel Ellison
Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study. LREC (2008)
Eric K. Ringger, Peter McClanahan, Robbie Haertel, George Busby, Marc Carmen, James L. Carroll, Kevin D. Seppi, Deryle Lonsdale
Active Learning for Part-of-Speech Tagging: Accelerating Corpus Annotation. LAW@ACL (2007)
Christopher K. Monson, Kevin D. Seppi, James L. Carroll
A Utile Function Optimizer. IEEE Congress on Evolutionary Computation (2007)
James L. Carroll, Kevin D. Seppi
A Bayesian technique for task localization in multiple goal Markov decision processes. ICMLA (2004)
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
Reinforcement Learning Task Clustering. ICMLA (2003)
James L. Carroll, Todd Peterson
Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning. ICMLA (2002)
Todd S. Peterson, Nancy E. Owens, James L. Carroll
Towards Automatic Shaping in Robot Navigation. ICRA (2001)