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JMLR
2010
144views more  JMLR 2010»
15 years 1 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
16 years 22 days 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»
15 years 1 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
15 years 7 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»
15 years 6 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