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ORCIDCIDU 2011: Mountain View, CA, USA
- Ashok N. Srivastava, Nitesh V. Chawla, Amal Shehan Perera:
Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA. NASA Ames Research Center 2011
Session 1
- Rajarshi Mallik, Hillol Kargupta:
A Sustainable Approach for Demand Prediction in Smart Grids using a Distributed Local Asynchronous Algorithm. 1-15 - Anne Kao, Steve Poteet, David Augustine:
P-MATCH and QUBIT - Methods for Extracting Critical Information from Free Text Data for Systems Health Management. 16-29 - Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar:
Data Guided Discovery of Dynamic Climate Dipoles. 30-44
Session 2
- Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. 45-59 - Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza:
Pseudo-Label Generation for Multi-Label Text Classification. 60-75 - Maxime Gariel, Kevin Spieser, Emilio Frazzoli:
On the Statistics and Predictability of Go-Arounds. 75-91
Session 3
- Zubin Abraham, Pang-Ning Tan, Fan Xin:
Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. 92-106 - Dimitrios Giannakis, Andrew J. Majda:
Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. 107-117 - David R. Thompson, Walid A. Majid, Kiri Wagstaff, Colorado Reed:
Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. 118-128
Session 4
- Dunke Zhou, Tao Shi:
Statistical Inference Based on Distances Between Empirical Distributions with Applications to AIRSLevel-3 Data. 129-143 - Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael S. Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster:
A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. 144-158 - Laurent El Ghaoui, Guan-Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri:
Sparse Machine Learning Methods for Understanding Large Text Corpora. 159-173 - S. George Djorgovski, Ciro Donalek, Ashish Mahabal, Baback Moghaddam, Mike Turmon, Matthew J. Graham, Andrew J. Drake, Nihar Sharma, Yutong Chen:
Towards an Automated Classification of Transient Events in Synoptic Sky Surveys. 174-188
Session 5
- Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar:
Anomaly Construction in Climate Data: Issues and Challenges. 189-203 - Duo Zhang, ChengXiang Zhai, Jiawei Han:
MiTexCube: MicroTextCluster Cube for Online Analysis of Text Cells. 204-218 - Linkan Bian, Nagi Gebraeel:
A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. 219-231
Session 6
- Kamalika Das, Ashok N. Srivastava:
Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery. 233-247 - Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah:
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. 248-262 - Ganeshchandra Mallya, Shivam Tripathi, Rao S. Govindaraju:
A Machine Learning Approach for Probabilistic Drough Classification. 263-275
Poster Abstracts
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