MACHINE LEARNING TECHNICAL REPORTS 2006
School of Computer Science, Carnegie Mellon University
Pittsburgh PA 15213-3891
412.268.1299 . 412.268.5576 (fax)


Technical Reports by Author
Theses by Author

2006 Series

CMU-ML-06-101
Discovering Latent Patterns with Hierarchical Bayesian Mixed-Membership Models
Edoardo M. Airoldi, Stephen E. Fienberg, Cyrille Joutard, Tanzy M. Love
Abstract, .pdf

CMU-ML-06-102
Center-Piece Subgraphs: Problem Definition and Fast Solution
Hanghang Tong, Christos Faloutsos
Abstract, .pdf

CMU-ML-06-103
Bayesian Exponential Family Harmoniums
Fan Guo, Eric P. Xing
Abstract, .pdf

CMU-ML-06-104
Unpublished

CMU-ML-06-105
Applying Machine Learning to Cognitive Modeling for Cognitive Tutors
Noboru Matsuda, William W. Cohen, Jonathan Sewall, Kenneth R. Koedinger
Abstract, .pdf

CMU-ML-06-106
What Characterizes a Better Demonstration for Cognitive Modeling by Demonstration?
Noboru Matsuda, William W. Cohen, Jonathan Sewall, Kenneth R. Koedinger
Abstract, .pdf

CMU-ML-06-107
A Generative Model for Dynamic Contextual Friendship Networks
Alice X. Zhang, Anna Goldenberg
Abstract, .pdf

CMU-ML-06-108
The Discipline of Machine Learning
Tom M. Mitchell
Abstract, .pdf

CMU-ML-06-109
Fast Random Walk with Restart and Its Applications
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
Abstract, .pdf

CMU-ML-06-110
Modeling Disk Traffic with Bias Methods
Chris Murray, Hao Cen
Abstract, .pdf

CMU-ML-06-111
A New Nonparametric Bayesian Model for Genetic Inference in Open Ancestral Space
Eric P. Xing, Kyung-Ah Sohn
Abstract, .pdf

CMU-ML-06-112
Efficient Planning of Informative Paths for Multiple Robots
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William Kaiser, Maxim Batalin
Abstract, .pdf

CMU-ML-06-113
Cascading Behavior in Large Blog Graphs Patterns and a Model
Jure Leskovec, Mary McGlohon, Christos Faloutsos, Natalie Glance, Matthew Hurst
Abstract, .pdf

CMU-ML-06-114
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games
Chris Murray, Geoffrey Gordon
Abstract, .pdf

CMU-ML-06-115
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
Abstract, .pdf

CMU-ML-06-116
Agendas for Multi-Agent Learning
Geoffrey J. Gordon
Abstract, .pdf

CMU-ML-06-117
Inferring Regulatory Networks Using a Hierarchical Bayesian Graphical Gaussian
Fan Li, Yiming Yang, Eric Xing
Abstract, .pdf

CMU-ML-06-118
Feature-based vs. Intensity-based Brain Image Registration: Voxel Level
and Structure Level Performance Evaluation

Leonid A. Teverovskiy, Owen T. Carmichael, Howard J. Aizenstein, Nicole A. Lazar, Yanxi Liu
Abstract, .pdf


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