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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
13 years 11 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
COMPSAC
2009
IEEE
13 years 11 months ago
Towards a Next-Generation Matrix Library for Java
Matrices are essential in many fields of computer science, especially when large amounts of data must be handled efficiently. Despite this demand for matrix software, we were una...
Holger Arndt, Markus Bundschus, Andreas Naegele
INFOCOM
1997
IEEE
13 years 10 months ago
A Near-Optimal Packet Scheduler for QoS Networks
A packet scheduler in a quality-of-service QoS network should be sophisticated enough to support stringent QoS constraints at high loads, but it must also have a simple implemen...
Dallas E. Wrege, Jörg Liebeherr
JSSPP
1995
Springer
13 years 9 months ago
The ANL/IBM SP Scheduling System
During the past ve years scientists discovered that modern UNIX workstations connected with ethernet and ber networks could provide enough computational performance to compete wit...
David A. Lifka
AAAI
2006
13 years 7 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer