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» DiFacto: Distributed Factorization Machines
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TASLP
2010
105views more  TASLP 2010»
13 years 4 months ago
Non-Negative Tensor Factorization Applied to Music Genre Classification
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Emmanouil Benetos, Constantine Kotropoulos
ESOP
2011
Springer
13 years 1 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
EUROPAR
2001
Springer
14 years 2 months ago
Implementing Java on Clusters
We have implemented a virtual machine (VM) for Java which executes on a cluster. Our cluster VM completely hides the cluster from the application, presenting a single system image...
Yariv Aridor, Michael Factor, Avi Teperman
WSC
1998
13 years 11 months ago
Architecture for a Non-deterministic Simulation Machine
Causality constraints of random discrete simulation make parallel and distributed processing difficult. Methods of applying reconfigurable logic to implement and accelerate simula...
Marc Bumble, Lee D. Coraor
ICML
2010
IEEE
13 years 11 months ago
Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
Philip M. Long, Rocco A. Servedio