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IPPS
2005
IEEE
16 years 4 days ago
Technology-based Architectural Analysis of Operand Bypass Networks for Efficient Operand Transport
As semiconductor feature sizes decrease, interconnect delay is becoming a dominant component of processor cycle times. This creates a critical need to shift microarchitectural des...
Hongkyu Kim, D. Scott Wills, Linda M. Wills
AAAI
2011
14 years 6 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
CHI
2009
ACM
16 years 1 months ago
Matchin: eliciting user preferences with an online game
Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
Severin Hacker, Luis von Ahn
ECML
2003
Springer
15 years 11 months ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
CSDA
2010
194views more  CSDA 2010»
15 years 6 months ago
A clipped latent variable model for spatially correlated ordered categorical data
We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially co...
Megan Dailey Higgs, Jennifer A. Hoeting