Technical Reports by Author
Theses by Author

2007 Series

CMU-ML-07-100
Finding Patterns in Blog Shapes and Blog Evolution
Mary McGlohon, Jure Leskovec, Christos Faloutsos, Matthew Hurst, Natalie Glance
Abstract, .pdf

CMU-ML-07-101
Notes on Stacked Graphical Learning for Efficient Inference in Markov Random Fields
Zhenzhen Kou, William W. Cohen
Abstract, .pdf

CMU-ML-07-102
Robust Probabilistic Filtering in Distributed Systems
Stanislav Funiak, Carlos Guestrin, Mark Paskin, Rahul Sukthankar
Abstract, .pdf

CMU-ML-07-103
A Bound on the Label Complexity of Agnostic Active Learning
Steve Hanneke
Abstract, .pdf

CMU-ML-07-104
Measure Concentration of Strongly Mixing Processes with Applications
Leonid Kontorovich, Ph.D. Thesis
Abstract, .pdf

CMU-ML-07-105
Nonmyopic Active Learning of Gaussian Processes: An Exploration-Exploitation Approach
Andreas Krause, Carlos Guestrin
Abstract, .pdf

CMU-ML-07-106
Using Distributed M-Trees for Answering K-Nearest Neighbor Queries
Brent Bryan, Andrew W. Moore, Andrew Snyder, Jeff Schneider
Abstract, .pdf

CMU-ML-07-107
A Nonparametric Bayesian Approach for Haplotype Reconstruction from Single and Multi-Population Data
Eric P. Xing, Kyung-Ah Sohn
Abstract, .pdf

CMU-ML-07-108
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit Singh, Carlos Guestrin
Abstract, .pdf

CMU-ML-07-109
Scalable Graphical Models for Social Networks
Anna Goldenberg, Ph.D. Thesis
Abstract, .pdf

CMU-ML-07-110
Comparative Genomic Motif Detection via Multi-Resolution Phylogenetics Shadowing
Eric P. Xing, Pradipta R. Ray
Abstract, .pdf

CMU-ML-07-111
Cost-effective Outbreak Detection in Networks
Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, Natalie Glance
Abstract, .pdf

CMU-ML-07-112
ADAGE: A Software Package for Analyzing Graph Evolution
Mary McGlohon, Christos Faloutsos
Abstract, .pdf

CMU-ML-07-113
Finding Correlated Equilibria in General Sum Stochastic Games
Chris Murray, Geoff Gordon
Abstract, .pdf

CMU-ML-07-114
T-Cube: A Data Structure for Fast Extraction of Time Series from Large Datasets
Maheshkumar Sabhnani, Andrew W. Moore, Artur W. Dubrawski
Abstract, .pdf

CMU-ML-07-115
Approximate Inference, Structure Learning and Feature Estimation in Markov Random Fields
Pradeep Ravikumar, Ph.D. Thesis
Abstract, .pdf

CMU-ML-07-116
Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process
Amr Ahmed, Eric P. Xing
Abstract, .pdf

CMU-ML-07-117
Unpublished

CMU-ML-07-118
Selecting Observations against Adversarial Objectives
Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta
Abstract, .pdf

CMU-ML-07-119
Unpublished

CMU-ML-07-120
Active Learning for Subsampling Functions Below a Specified Level-Set
Brent Bryan, Jeff Schneider, Chad M. Schafer
Abstract, .pdf

CMU-ML-07-121
Actively Learning Level-Sets of Composite Functions
Brent Bryan, Jeff Schneider
Abstract, .pdf

CMU-ML-07-122
Actively Learning Specific Function Properties with Applications to Statistical Inference
Brent Bryan, Ph.D. Thesis
Abstract, .pdf

CMU-ML-07-123
Stacked Graphical Learning
Zhenzhen Kou, Ph.D. Thesis
Abstract, .pdf

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