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Wayne Iba
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2010 – 2019
- 2016
- [c24]James Byron, Wayne Iba:
Population Diversity as a Selection Factor: Improving Fitness by Increasing Diversity. GECCO (Companion) 2016: 953-959 - 2013
- [p1]Wayne Iba:
Before We Get There, Where Are We Going? Your Virtual Butler 2013: 54-69 - 2012
- [c23]Wayne Iba:
Searching for Better Performance on the King-Rook-King Chess Endgame Problem. FLAIRS 2012 - 2011
- [c22]Logan Brooks, Wayne Iba, Sandip Sen:
Modeling the emergence of norms. AAMAS 2011: 1239-1240 - [c21]Wayne Iba, Pat Langley:
Exploring Moral Reasoning in a Cognitive Architecture. CogSci 2011 - [c20]Logan Brooks, Wayne Iba, Sandip Sen:
Modeling the Emergence and Convergence of Norms. IJCAI 2011: 97-102
2000 – 2009
- 2008
- [c19]Wayne Iba:
There's Something about AI Exercises. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science 2008: 44-49 - [c18]Wayne Iba, Kelsey Marshman, Benjamin Fisk:
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem. GEM 2008: 235-240 - 2007
- [c17]Wayne Iba:
When Is Assistance Really Helpful? AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 62-63 - [c16]Wayne Iba:
When Is Assistance Really Helpful? Interaction Challenges for Intelligent Assistants 2007: 62-63 - 2006
- [c15]Wayne Iba, Josh Holm:
Assistance: Is it Better to Receive Than to Give? IC-AI 2006: 84-90 - 2005
- [c14]Wayne Iba, Nicholas Burwell:
Building a Testbed for Studying Service. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 55-59 - [c13]Wayne Iba, Nicholas Burwell:
Studying Service: An Exploration of the Costs and Benefits of Assistance. FLAIRS 2005: 684-689 - 2001
- [c12]Wayne Iba, Pat Langley:
Unsupervised Learning of Probabilistic Concept Hierarchies. Machine Learning and Its Applications 2001: 39-70
1990 – 1999
- 1999
- [c11]Melinda T. Gervasio, Wayne Iba, Pat Langley:
Learning User Evaluation Functions for Adaptive Scheduling Assistance. ICML 1999: 152-161 - [c10]Wayne Iba, Melinda T. Gervasio:
Adapting to User Preferences in Crisis Response. IUI 1999: 87-90 - 1998
- [c9]Melinda T. Gervasio, Wayne Iba, Pat Langley:
Learning to Predict User Operations for Adaptive Scheduling. AAAI/IAAI 1998: 721-726 - 1994
- [c8]Pat Langley, Wayne Iba, Jeff Shrager:
Reactive and Automatic Behavior in Plan Execution. AIPS 1994: 299-304 - 1993
- [c7]Pat Langley, Wayne Iba:
Average-Case Analysis of a Nearest Neighbor Algorithm. IJCAI 1993: 889-894 - 1992
- [c6]Pat Langley, Wayne Iba, Kevin Thompson:
An Analysis of Bayesian Classifiers. AAAI 1992: 223-228 - [c5]Wayne Iba, Pat Langley:
Induction of One-Level Decision Trees. ML 1992: 233-240 - 1991
- [j2]Pat Langley, Kathleen B. McKusick, John A. Allen, Wayne Iba, Kevin Thompson:
A Design for the Icarus Architecture. SIGART Bull. 2(4): 104-109 (1991) - [c4]Wayne Iba:
Modeling the Acquisition and Improvement of Motor Skkills. ML 1991: 60-64 - [c3]Kevin Thompson, Pat Langley, Wayne Iba:
Using Background Knowledge in Concept Formation. ML 1991: 554-558 - [c2]Wayne Iba:
Learning to Classify Observed Motor Behavior. IJCAI 1991: 732-738
1980 – 1989
- 1988
- [c1]Wayne Iba, James Wogulis, Pat Langley:
Trading Off Simplicity and Coverage in Incremental concept Learning. ML 1988: 73-79 - 1987
- [j1]Wayne Iba, Pat Langley:
A computational theory of motor learning. Comput. Intell. 3: 338-350 (1987)
Coauthor Index
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