Eric B. Baum

Publication Activity (10 Years)

Years Active: 1987-2023
Publications (10 Years): 1

Publications

Eric B. Baum
TruthSift: A Platform for Collective Rationality. Neural Comput. 35 (3) (2023)
Gary William Flake, Eric B. Baum
Rush Hour is PSPACE-complete, or "Why you should generously tip parking lot attendants". Theor. Comput. Sci. 270 (1-2) (2002)
Eric B. Baum, Dan Boneh, Charles Garrett
Where Genetic Algorithms Excel. Evol. Comput. 9 (1) (2001)
Eric B. Baum, Igor Durdanovic
Evolution of Cooperative Problem Solving in an Artificial Economy. Neural Comput. 12 (12) (2001)
Eric B. Baum, Igor Durdanovic
An Artificial Economy of Post Production Systems. IWLCS (2000)
Eric B. Baum, Warren D. Smith
Propagating Distributions Up Directed Acyclic Graphs. Neural Comput. 11 (1) (1999)
Eric B. Baum
Toward a Model of Intelligence as an Economy of Agents. Mach. Learn. 35 (2) (1999)
Eric B. Baum, Warren D. Smith
A Bayesian approach to relevance in game playing. J. Int. Comput. Games Assoc. 21 (1) (1998)
Eric B. Baum, Warren D. Smith
A Bayesian Approach to Relevance in Game Playing. Artif. Intell. 97 (1-2) (1997)
Eric B. Baum, Dan Boneh
Running dynamic programming algorithms on a DNA computer. DNA Based Computers (1996)
Eric B. Baum
DNA sequences useful for computation. DNA Based Computers (1996)
Eric B. Baum
Toward a Model of Mind as a Laissez-Faire Economy of Idiots. ICML (1996)
Eric B. Baum, Dan Boneh, Charles Garrett
On Genetic Algorithms. COLT (1995)
Eric B. Baum
A DNA associative memory potentially larger than the brain. DNA Based Computers (1995)
Eric B. Baum
On Optimal Game Tree Propagation for Imperfect Players. AAAI (1992)
Eric B. Baum
Neural net algorithms that learn in polynomial time from examples and queries. IEEE Trans. Neural Networks 2 (1) (1991)
Eric B. Baum, Yuh-Dauh Lyuu
The Transition to Perfect Generalization in Perceptrons. Neural Comput. 3 (3) (1991)
Eric B. Baum
On learning a union of half spaces. J. Complex. 6 (1) (1990)
Eric B. Baum
Polynomial Time Algorithms for Learning Neural Nets. COLT (1990)
Eric B. Baum
The Perceptron Algorithm is Fast for Nonmalicious Distributions. Neural Comput. 2 (2) (1990)
Eric B. Baum, Kevin J. Lang
Constructing Hidden Units Using Examples and Queries. NIPS (1990)
Eric B. Baum
A Polynomial Time Algorithm That Learns Two Hidden Unit Nets. Neural Comput. 2 (4) (1990)
Eric B. Baum
When Are k-Nearest Neighbor and Back Propagation Accurate for Feasible Sized Sets of Examples? EURASIP Workshop (1990)
Eric B. Baum
A Proposal for More Powerful Learning Algorithms. Neural Comput. 1 (2) (1989)
Eric B. Baum
The Perceptron Algorithm Is Fast for Non-Malicious Distributions. NIPS (1989)
Eric B. Baum, David Haussler
What Size Net Gives Valid Generalization? Neural Comput. 1 (1) (1989)
Eric B. Baum
On the capabilities of multilayer perceptrons. J. Complex. 4 (3) (1988)
Eric B. Baum, David Haussler
What Size Net Gives Valid Generalization? NIPS (1988)
Eric B. Baum, Frank Wilczek
Supervised Learning of Probability Distributions by Neural Networks. NIPS (1987)