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LRE
2006
173views more  LRE 2006»
15 years 4 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff
ICDM
2010
IEEE
178views Data Mining» more  ICDM 2010»
15 years 2 months ago
Exploiting Unlabeled Data to Enhance Ensemble Diversity
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
Min-Ling Zhang, Zhi-Hua Zhou
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
15 years 2 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki
PDP
2003
IEEE
15 years 9 months ago
An XML based framework for self-describing parallel I/O data
File I/O data is interpreted by high performance parallel/distributed applications mostly as a sequence of arbitrary bits. This leads to the situation where data is ’volatile’...
András Belokosztolszki, Erich Schikuta
CLOUD
2010
ACM
15 years 9 months ago
Making cloud intermediate data fault-tolerant
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...