Technical Reports by Author
Theses by Author

2006 Series

CMU-CALD-06-100
Variational Inference and Learning for a Unified Model of Syntax, Semantics and Morphology
Leonid Kontorovch, John Lafferty, David Blei
Abstract

2005 Series

CMU-CALD-05-100
Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits
Andreas Krause, Carlos Guestrin
Abstract

CMU-CALD-05-101
Tabu Search Enhanced Markov Blanket Classifier for High Dimensional Data Sets
Xue Bai
Abstract

CMU-CALD-05-102
Near-Optimal Sensor Placements in Gaussian Processes
Carlos Guestrin, Andreas Krause, Ajit Singh
Abstract

CMU-CALD-05-103
A Note on the Budgeted Maximization of Submodular Functions
Andreas Krause, Carlos Guestrin
Abstract

CMU-CALD-05-104
Time-Sensitive Dirichlet Process Mixture Models
Xiaojin Zhu, Zoubin Ghahramani, John Lafferty
Abstract

CMU-CALD-05-105
New D-Separation Identification Results for Learning Continuous Latent Variable Models
Ricardo Silva, Richard Scheines
Abstract

CMU-CALD-05-106
Finding Optimal Bayesian Networks by Dynamic Programming
Ajit P. Singh, Andrew W. Moore
Abstract

CMU-CALD-05-107
Tools for Large Graph Mining
Deepayan Chakrabarti, Ph.D. Thesis
Abstract

CMU-CALD-05-108
Generalized Measurement Models
Ricardo Silva, Richard Scheines
Abstract

CMU-CALD-05-109
Automatic Discovery of Latent Variable Models
Ricardo Silva
Ph.D. Thesis
Abstract

CMU-CALD-05-110
Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost
Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon Kleinberg
Abstract

CMU-CALD-05-111
Unpublished

CMU-CALD-05-112
No-Regret Algorithms for Structured Prediction Problems
Geoffrey J. Gordon
Abstract

CMU-CALD-05-113
Inferring Users' Projects from their Workstation Contents
Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer
Abstract

CMU-CALD-05-114
Synamic Nonparametric Bayesian Models and the Birth-Death Process
Eric P. Xing
Abstract

CMU-CALD-05-115
On Topic Evolution
Eric P. Xing
Abstract

CMU-CALD-05-116
Hidden Process Models
Tom M. Mitchell, Rebecca Hutchinson, Indrayana Rustandi
Abstract

Past Series

CMU-CALD-98-100
Automated Learning and Discovery: State-Of-The-Art and Research Topics in a Rapidly Growing Field
Sebastian Thrun, Christos Faloutsos, Tom Mitchell, Larry Wasserman
Abstract

CMU-CALD-01-101
Framework for Using Grocery Data for Early Detection of Bio-terrorism Attacks
Anna Goldenberg
Abstract

CMU-CALD-01-102
On a Conditional Inverse Gaussian-Poisson Distribution
Nobuaki Hoshino
Abstract

CMU-CALD-02-100
On Limiting Random Partition Structure Derived from the Conditional Inverse Gaussian-Poisson Distribution
Nobuaki Hoshino
Abstract

CMU-CALD-02-101
Large-scale Automated Forecasting using Fractals
Deepayan Chakrabarti
Abstract

CMU-CALD-02-102
The Structure of the Unobserved
Ricardo Silva
Abstract

CMU-CALD-02-103
ELeaRNT: Evolutionary Learning of Rich Neural Network Topologies
Matteo Matteucci
Abstract

CMU-CALD-02-104
A Method for Automatically Finding Interpretations of Reduced Dimension Representations
Marc Fasnacht, Rich Caruana
Abstract

CMU-CALD-02-105
A Method for Automatically Finding Structural Motifs in Proteins
Marc Fasnacht
Abstract

CMU-CALD-02-106
Towards Semi-Supervised Classification with Markov Random Fields
Xiaojin Zhu, Zoubin Ghahramani
Abstract

CMU-CALD-02-107
Learning from Labels and Unlabeled Data with Label Propagation
Xiaojin Zhu, Zoubin Ghahramani
Abstract

CMU-CALD-03-100
Learning Measurement Models
Ricardo Silva, Richard Scheines, Peter Spirtes, Clark Glymour
Abstract

CMU-CALD-03-101
Advances in network Tomography
Edoardo M. Airoldi
Abstract

CMU-CALD-04-100
Learning Semantically Robust Rules from Data
Yiheng Li, Latanya Sweeney
Abstract

CMU-CALD-04-101
Generalized Measurement Models
Ricardo Silva, Richard Scheines
Abstract

CMU-CALD-04-102
PCX: Markov Blanket Classification for Large Data Sets with Few Cases
Xue Bai, Clark Glymour, Rema Padman, Joseph Ramsey, Peter Spirtes, Frank Wimberly
Abstract

CMU-CALD-04-103
Tractable Structural Learning of Large Bayesian Networks from Sparse Data
Anna Goldenberg, Andrew W. Moore
Abstract

CMU-CALD-04-104
Recovering Latent Time-Series from their Observed Sums: Network Tomography with Particle Filters.
Edoardo Airoldi, Christos Faloutsos
Abstract

CMU-CALD-04-105
Learning Linearly Separable Languages
Leonid Kontorovich
Abstract

CMU-CALD-04-105R
Learning Linearly Separable Languages
Leonid Kontorovich
Abstract

CMU-CALD-04-106
Statistical Models for Frequent Terms in Text
Edoardo M. Airoldi, William W. Cohen, Stephen E. Fienberg
Abstract

CMU-CALD-04-107
Fully Automatic Cross-Associations
Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos
Abstract

CMU-CALD-04-108
Learning-based Neuroimage Registration
Leonid Teverovskiy, Yanxi Liu
Abstract

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