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» A Framework for Multiple-Instance Learning
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NAACL
2007
15 years 7 months ago
A Log-Linear Block Transliteration Model based on Bi-Stream HMMs
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
Bing Zhao, Nguyen Bach, Ian R. Lane, Stephan Vogel
ACL
2006
15 years 7 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
BIS
2006
132views Business» more  BIS 2006»
15 years 7 months ago
Utilizing Successful Work Practice for Business Process Evolution
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, business processes are always evolving in cur...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori
NIPS
2004
15 years 7 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
NIPS
2001
15 years 7 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter