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Auton Project This project is no longer active. Heads: Jeff Schneider and Andrew Moore Contact: Jeff Schneider (schneide@cs.cmu.edu) Mailing address: Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 Associated lab/group: Auton Lab For more information, see this project's homepage.

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Project Description

In the Auton lab, we focus on machine learning, especially data mining, reinforcement learning, control and logistics. Today information is processed in a huge variety of places, ranging from humble thermostats, traffic lights and TV remote controls up to continuous-flow manufacturing processes, packaging machines, truck routers, car engine management systems and plant management consoles. Here's what we find exciting: Imagine a future where all these systems have the computational power of a thousand Deep Blue chess search engines. The hardware and infrastructure for this future are not unthinkably far off. We are concerned with the computer science of exploiting this power.

Past members

	Name	Title	Email Address
	Brigham Anderson	Postdoctoral Fellow
	James (Drew) Bagnell	Research Scientist	bagnell2@andrew.cmu.edu
	Leemon Baird	PhD Student, CS
	Michael J Baysek	Systems Analyst	mjbaysek@cs.cmu.edu
	Justin Boyan	PhD Student, CS
	Lujie Chen	Research Analyst	lujiec@andrew.cmu.edu
	Pak Yan Choi	Research Programmer
	David Cohn	Research Scientist (Adjunct)
	Scott Davies	PhD Student, CS	sdavies@andrew.cmu.edu
	Kan Deng	PhD Student, RI
	Adam G Goode	Project Scientist	agoode@andrew.cmu.edu
	Geoffrey Gordon	Assoc. Res. Professor/Adjunct Faculty RI, MLD (Adjunct)	ggordon@cs.cmu.edu
	Pat Gunn	Research Programmer, Psychology	pgunn@andrew.cmu.edu
	Paul Hsiung	Masters Student
	Paul Komarek	Postdoctoral Fellow
	Jeremy Martin Kubica	PhD Student, RI
	Andrew Moore	Professor, RI/CS	awm@cs.cmu.edu (Currently On Leave)
	Remi Munos	Postdoctoral Fellow
	Ellie Lin Ratliff	PhD Student, RI	elliel@andrew.cmu.edu
	Jeff Schneider	Assoc. Research Professor	schneide@cs.cmu.edu
	Alice X Zheng	Postdoctoral Fellow

Recent publications [View all 68 publications]

• Efficient Discovery of Spatial Associations and Structure with Application to Asteroid Tracking
  J.M. Kubica
  doctoral dissertation, tech. report CMU-RI-TR-06-01, Robotics Institute, Carnegie Mellon University, December, 2005. [Abstract]
  Download: pdf [6730 KB] copyrighted

• Scalable and robust group discovery on large transactional data
  P. Choi, A. Moore, and J.M. Kubica
  tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005. [Abstract]
  Download: pdf [753 KB] copyrighted

• Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
  J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
  Neural Information Processing Systems, December, 2005. [Abstract]
  Download: pdf [204 KB] copyrighted

• Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity
  P. Komarek and A. Moore
  tech. report CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005. [Abstract]
  Download: pdf [214 KB], ps.gz [70 KB] copyrighted

• Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005. [Abstract]
  Download: pdf [168 KB], ps.gz [375 KB] copyrighted

• Fast and Robust Track Initiation Using Multiple Trees
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004. [Abstract]
  Download: pdf [1196 KB], ps.gz [803 KB] copyrighted

• Spatial Data Structures for Efficient Trajectory-Based Queries
  J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
  tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004. [Abstract]
  Download: pdf [510 KB], ps.gz [278 KB] copyrighted

• Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
  B. Anderson, A. Moore, A.J. Connolly, and R. Nichol
  International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, August, 2004.

• Logistic Regression for Data Mining and High-Dimensional Classification
  P. Komarek
  tech. report CMU-RI-TR-04-34, Robotics Institute, Carnegie Mellon University, May, 2004. [Abstract]
  Download: pdf [1579 KB], ps.gz [2027 KB] copyrighted

• Alias Detection in Link Data Sets
  P. Hsiung
  master's thesis, tech. report CMU-RI-TR-04-22, Robotics Institute, Carnegie Mellon University, March, 2004. [Abstract]
  Download: pdf [89 KB], ps.gz [47 KB] copyrighted