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ECML
2006
Springer
15 years 1 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ACL
2007
14 years 11 months ago
Fast Unsupervised Incremental Parsing
This paper describes an incremental parser and an unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structur...
Yoav Seginer
EDM
2010
140views Data Mining» more  EDM 2010»
14 years 11 months ago
An Annotations Approach to Peer Tutoring
In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
John Champaign, Robin Cohen
CORR
2010
Springer
47views Education» more  CORR 2010»
14 years 10 months ago
Robustness and Generalization
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the test...
Huan Xu, Shie Mannor
ACL
2011
14 years 1 months ago
Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able t...
Graham Neubig, Yosuke Nakata, Shinsuke Mori