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AI
2010
Springer
13 years 6 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
JMLR
2011
111views more  JMLR 2011»
13 years 5 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
ICDE
2011
IEEE
194views Database» more  ICDE 2011»
13 years 1 months ago
Representative skylines using threshold-based preference distributions
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai, R...
ISCA
2011
IEEE
294views Hardware» more  ISCA 2011»
13 years 1 months ago
Moguls: a model to explore the memory hierarchy for bandwidth improvements
In recent years, the increasing number of processor cores and limited increases in main memory bandwidth have led to the problem of the bandwidth wall, where memory bandwidth is b...
Guangyu Sun, Christopher J. Hughes, Changkyu Kim, ...
AAAI
2011
12 years 10 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith