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COLT
2008
Springer
13 years 9 months ago
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Shai Shalev-Shwartz, Yoram Singer
ACL
2007
13 years 9 months ago
Corpus Effects on the Evaluation of Automated Transliteration Systems
Most current machine transliteration systems employ a corpus of known sourcetarget word pairs to train their system, and typically evaluate their systems on a similar corpus. In t...
Sarvnaz Karimi, Andrew Turpin, Falk Scholer
DAGSTUHL
2004
13 years 9 months ago
Audition of Web Services for Testing Conformance to Open Specified Protocols
Abstract. A Web Service (WS) is a type of component specifically conceived for distributed machine-to-machine interaction. Interoperability between WSs involves both data and messa...
Antonia Bertolino, Lars Frantzen, Andrea Polini, J...
IAJIT
2007
104views more  IAJIT 2007»
13 years 7 months ago
A Learning-Classification Based Approach for Word Prediction
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
Hisham Al-Mubaid
BMVC
2010
13 years 5 months ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...