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» Approximate Learning of Dynamic Models
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ICML
2006
IEEE
16 years 2 months ago
Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution
The Dirichlet compound multinomial (DCM) distribution, also called the multivariate Polya distribution, is a model for text documents that takes into account burstiness: the fact ...
Charles Elkan
EMNLP
2010
14 years 12 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 4 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ACMICEC
2007
ACM
102views ECommerce» more  ACMICEC 2007»
15 years 6 months ago
Learning to trade with insider information
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
Sanmay Das
ACL
2010
15 years 8 hour ago
Combining Data and Mathematical Models of Language Change
English noun/verb (N/V) pairs (contract, cement) have undergone complex patterns of change between 3 stress patterns for several centuries. We describe a longitudinal dataset of N...
Morgan Sonderegger, Partha Niyogi