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ACMICEC
2006
ACM
157views ECommerce» more  ACMICEC 2006»
16 years 18 days ago
Adaptive mechanism design: a metalearning approach
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
David Pardoe, Peter Stone, Maytal Saar-Tsechansky,...
BMCBI
2006
134views more  BMCBI 2006»
15 years 6 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
DIGITEL
2008
IEEE
16 years 1 months ago
Games as Skins for Online Tests
: Games play a dual role: they test the player’s competence, and at the same time provide learning opportunities. They offer a simple form of a reward – the pleasure of playing...
Srinivasan Ramani, Venkatagiri Sirigiri, Nila Lohi...
POPL
2009
ACM
16 years 7 months ago
The semantics of x86-CC multiprocessor machine code
Multiprocessors are now dominant, but real multiprocessors do not provide the sequentially consistent memory that is assumed by most work on semantics and verification. Instead, t...
Susmit Sarkar, Peter Sewell, Francesco Zappa Narde...
ICDAR
2007
IEEE
16 years 28 days ago
An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents
Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel met...
Michael Makridis, N. Nikolaou, Basilios Gatos