- Model Identification for Optimal Diesel Emissions Control.
Andrew Stevens, Yannan Sun, Xiaobo Song and Gordon Parker.
(PAPER)
- Learning Executable Models of Multiagent Behavior from Live Animal Observation.
Brian Hrolenok and Tucker Balch.
(PAPER)
- Model Selection in Markovian Processes.
Assaf Hallak, Dotan Di-Castro and Shie Mannor.
(PAPER)
- Nonparametric System Identification for Periodic Error Correction.
Edgar Klenske, Bernhard Schölkopf and Philipp Hennig.
- Hilbert Space Embeddings of Predictive State Representations.
Byron Boots, Arthur Gretton and Geoffrey Gordon.
- An Instrumental Least Squares Support Vector Machine for System Identification.
Roland Toth, Vincent Laurain and Dario Piga.
- Boosting an operator-valued kernel model and application to network inference.
Néhémy Lim, Yasin Senbabaoglu, George Michailidis and Florence D'Alché-Buc.
(PAPER)
- Robust Learning of Dynamics for Large Neural Ensembles.
David Pfau, Eftychios Pnevmatikakis and Liam Paninski.
- Gaussian Conditional Random Fields for Modeling Patient's Response in Acute Inflammation Treatment.
Vladan Radosavljevic, Kosta Ristovski and Zoran Obradovic.
(PAPER)
- Discriminative System Identification via the Principle of Maximum Causal Entropy.
Xiangli Chen and Brian Ziebart.
(PAPER)