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JMLR
2010
144views more  JMLR 2010»
13 years 4 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
FDG
2009
ACM
14 years 4 months ago
Relating cognitive models of computer games to user evaluations of entertainment
As the interactive entertainment industry matures, a better understanding of what makes software entertaining is needed. A natural starting point is the application of traditional...
Paolo Piselli, Mark Claypool, James Doyle
CORR
2010
Springer
108views Education» more  CORR 2010»
13 years 4 months ago
Finding Cycles and Trees in Sublinear Time
We present sublinear-time (randomized) algorithms for finding simple cycles of length at least k 3 and tree-minors in bounded-degree graphs. The complexity of these algorithms is...
Artur Czumaj, Oded Goldreich, Dana Ron, C. Seshadh...
AAAI
1994
13 years 11 months ago
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
Steven Minton, Ian Underwood
MICRO
2006
IEEE
71views Hardware» more  MICRO 2006»
13 years 9 months ago
Efficient Runahead Execution: Power-Efficient Memory Latency Tolerance
Runahead execution improves memory latency tolerance without significantly increasing processor complexity. Unfortunately, a runahead execution processor executes significantly mo...
Onur Mutlu, Hyesoon Kim, Yale N. Patt