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» Kernel methods for learning languages
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105
Voted
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
15 years 14 days ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
ICASSP
2011
IEEE
14 years 6 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
EMNLP
2008
15 years 3 months ago
Latent-Variable Modeling of String Transductions with Finite-State Methods
String-to-string transduction is a central problem in computational linguistics and natural language processing. It occurs in tasks as diverse as name transliteration, spelling co...
Markus Dreyer, Jason Smith, Jason Eisner
119
Voted
LREC
2008
110views Education» more  LREC 2008»
15 years 3 months ago
Information Extraction Tools and Methods for Understanding Dialogue in a Companion
This paper discusses how Information Extraction is used to understand and manage Dialogue in the EU-funded Companions project. This will be discussed with respect to the Senior Co...
Roberta Catizone, Alexiei Dingli, Hugo Pinto, Yori...
ICCPOL
2009
Springer
15 years 7 days ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit