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ISMIR
2003
Springer
116views Music» more  ISMIR 2003»
14 years 24 days ago
Harmonic analysis with probabilistic graphical models
A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, domin...
Christopher Raphael, Josh Stoddard
AAAI
2011
12 years 7 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
COORDINATION
2000
Springer
13 years 11 months ago
GCCS: A Graphical Coordination Language for System Specification
Abstract. We present GCCS, a graphical coordination language for hierarchical concurrent systems. GCCS, which is implemented in the Concurrency Factory design environment, represen...
Rance Cleaveland, Xiaoqun Du, Scott A. Smolka
JMLR
2010
88views more  JMLR 2010»
13 years 2 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
JMLR
2010
132views more  JMLR 2010»
13 years 2 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...