Adaptive Methods Research Methods Fall 2008 Tamás Bőhm.
Hidden Markov Models for Information Extraction Recent Results and Current Projects Joseph Smarr & Huy Nguyen Advisor: Chris Manning.
Selective attention in RL B. Ravindran Joint work with Shravan Matthur, Vimal Mathew, Sanjay Karanth, Andy Barto.
STATISTICS POINT ESTIMATION Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.
Towards Context-Aware Search by Learning A Very Large Variable Length Hidden Markov Model from Search Logs Huanhuan Cao 1, Daxin Jiang 2, Jian Pei 3, Enhong.
1 A Probabilistic Approach to Spatiotemporal Theme Pattern Mining on Weblogs Qiaozhu Mei, Chao Liu, Hang Su, and ChengXiang Zhai : University of Illinois.
Data-model integration: Examples from belowground ecosystem ecology Kiona Ogle University of Wyoming Departments of Botany & Statistics .
Stochastic algebraic models SAMSI Transition Workshop June 18, 2009 Reinhard Laubenbacher Virginia Bioinformatics Institute and Mathematics Department.
Estimation of clouds in atmospheric models Tomislava Vukicevic CIRA/CSU and PAOS/CU.
Page 1 Theory Metabolites Karin Aden (BVL, Germany) FOCUS Work Group on Degradation Kinetics Estimating Persistence and Degradation Kinetics from Environmental.
Istituto Nazionale Di AstrofisicaIstituto di Fisica dello Spazio Interplanetario V. Iafolla, E. Fiorenza, C. Lefevre, S. Nozzoli, R. Peron, M. Persichini,
WWRP Sub-seasonal to Seasonal Prediction (1-90 days) - A Seamless Approach Workshop Sub-seasonal to Seasonal Prediction UK Met Office, Exeter 1-3 December.
