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PKDD
2005
Springer
122views Data Mining» more  PKDD 2005»
15 years 3 months ago
A Probabilistic Clustering-Projection Model for Discrete Data
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
GLVLSI
2007
IEEE
194views VLSI» more  GLVLSI 2007»
15 years 1 months ago
Probabilistic maximum error modeling for unreliable logic circuits
Reliability modeling and evaluation is expected to be one of the major issues in emerging nano-devices and beyond 22nm CMOS. Such devices would have inherent propensity for gate f...
Karthikeyan Lingasubramanian, Sanjukta Bhanja
NAACL
2003
14 years 11 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
LMCS
2006
87views more  LMCS 2006»
14 years 9 months ago
Model Checking Probabilistic Pushdown Automata
We consider the model checking problem for probabilistic pushdown automata (pPDA) and properties expressible in various probabilistic logics. We start with properties that can be ...
Antonín Kucera, Javier Esparza, Richard May...
ILP
2007
Springer
15 years 4 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen