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ML
2008
ACM
15 years 6 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
EOR
2007
85views more  EOR 2007»
15 years 6 months ago
Reject inference, augmentation, and sample selection
Many researchers see the need for reject inference in credit scoring models to come from a sample selection problem whereby a missing variable results in omitted variable bias. Al...
John Banasik, Jonathan Crook
149
Voted
ML
2006
ACM
15 years 6 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer
TMC
2008
101views more  TMC 2008»
15 years 6 months ago
The Mathematical Theory of Dynamic Load Balancing in Cellular Networks
While many interesting dynamic load balancing schemes have been proposed for efficient use of limited bandwidth and to increase the capacity of congested or hot spots (or cells) in...
Ozan K. Tonguz, Evsen Yanmaz
JSAC
2007
102views more  JSAC 2007»
15 years 6 months ago
A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks
Abstract— In this paper, we develop a coded MIMO FHCDMA transceiver that is robust to partial-band jamming and the near-far problem for ad hoc networks with high mobility. Spatia...
Haichang Sui, James R. Zeidler