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» Classification Using Multiple and Negative Target Rules
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IUI
2009
ACM
14 years 4 months ago
Intelligently creating and recommending reusable reformatting rules
When users combine data from multiple sources into a spreadsheet or dataset, the result is often a mishmash of different formats, since phone numbers, dates, course numbers and ot...
Christopher Scaffidi, Brad A. Myers, Mary Shaw
ISCAS
2006
IEEE
145views Hardware» more  ISCAS 2006»
14 years 1 months ago
The wordlength determination problem of linear time invariant systems with multiple outputs - a geometric programming approach
This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
S. C. Chan, K. M. Tsui
ICCV
2005
IEEE
14 years 9 months ago
A Generative/Discriminative Learning Algorithm for Image Classification
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
Yi Li, Linda G. Shapiro, Jeff A. Bilmes
COLING
2008
13 years 8 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
KDD
1995
ACM
227views Data Mining» more  KDD 1995»
13 years 11 months ago
Applying a Data Miner To Heterogeneous Schema Integration
Anapplication of data miningtechniques to heterogeneous database schemaintegration is introduced. We use attribute-oriented induction to minefor characteristic and classification ...
Son Dao, Brad Perry