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TR
2010
126views Hardware» more  TR 2010»
15 years 1 months ago
Approximating a Loading-Dependent Cascading Failure Model With a Branching Process
Abstract--We quantify the closeness of the approximation between two high-level probabilistic models of cascading failure. In one model called CASCADE, failing components successiv...
Janghoon Kim, Ian Dobson
ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
16 years 1 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
ACL
2012
13 years 9 months ago
Concept-to-text Generation via Discriminative Reranking
This paper proposes a data-driven method for concept-to-text generation, the task of automatically producing textual output from non-linguistic input. A key insight in our approac...
Ioannis Konstas, Mirella Lapata
AAAI
2012
13 years 9 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
176
Voted
ICML
2005
IEEE
16 years 7 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...