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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 10 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
PODC
2010
ACM
15 years 10 months ago
Transactional predication: high-performance concurrent sets and maps for STM
Concurrent collection classes are widely used in multi-threaded programming, but they provide atomicity only for a fixed set of operations. Software transactional memory (STM) pr...
Nathan Grasso Bronson, Jared Casper, Hassan Chafi,...
WCNC
2010
IEEE
15 years 10 months ago
Interference Analysis in Time and Frequency Asynchronous Network MIMO OFDM Systems
—It is well known that symbol timing offsets larger than the cyclic prefix as well as carrier frequency offsets between transmitter and receiver stations destroy the orthogonali...
Vincent Kotzsch, Gerhard Fettweis
ATAL
2006
Springer
15 years 10 months ago
Predicting people's bidding behavior in negotiation
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
Ya'akov Gal, Avi Pfeffer
DSN
2004
IEEE
15 years 10 months ago
On Failure Dependent Protection in Optical Grooming Networks
Resiliency to link failures in optical networks is becoming increasingly important due to the increasing data rate in the fiber. Path protection schemes attempt to guarantee a bac...
Srinivasan Ramasubramanian
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