Technical Reports by Author
Theses by Author

2009 Series

CMU-ML-09-100
VeWRA: An Algorithm for Wrapper Verification
Charalampos E. Tsourakakis, Georgios Paliouras
Abstract, .pdf

CMU-ML-09-101
Detecting Patterns of Anomalies
Kaustav Das, Ph.D. Thesis
Abstract, .pdf

CMU-ML-09-102
Generalized Learning Factors Analysis: Improving Cognitive Models with Machine Learning
Hao Cen, Ph.D. Thesis
Abstract, .pdf

CMU-ML-09-103
Turning Down the Noise in the Blogosphere
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin
Abstract, .pdf

CMU-ML-09-104
Detecting Anomalous Groups in Categorical Datasets
Kaustav Das, Jeff Schneider, Daniel B. Neill
Abstract, .pdf

CMU-ML-09-105
Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy
Abstract, .pdf

CMU-ML-09-106
Theoretical Foundations of Active Learning
Steve Hanneke, Ph.D. Thesis
Abstract, .pdf

CMU-ML-09-107
Optimzing Sensing: From Water to the Web
Andreas Krause, Carlos Guestrin
Abstract, .pdf

CMU-ML-09-108
Unavailable to Date

CMU-ML-09-109
Exploiting Domain and Task Regularities for Robust Named Entity Recognition
Andrew O. Arnold, Ph.D. Thesis
Abstract, .pdf

CMU-ML-09-110
Learning Compressible Models
Yi Zhang, Jeff Schneider, Artur Dubrawski
Abstract, .pdf

CMU-ML-09-111
Efficient Matrix Models for Relational Learning
Ajit Paul Singh, Ph.D. Thesis
Abstract, .pdf

CMU-ML-09-112
Fast Algorithms for Querying and Mining Large Graphs
Hanghang Tong, Ph.D. Thesis
Abstract, .pdf

CMU-ML-09-113
Cost Complexity of Proactive Learning via a Reduction to Realizable Active Learning
Liu Yang, Jaime Carbonell
Abstract, .pdf

CMU-ML-09-114
Adaptive Proactive Learning with Cost-Reliability Tradeoff
Liu Yang, Jaime Carbonell
Abstract, .pdf

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