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JMLR
2012
13 years 9 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
ACL
2012
13 years 9 months ago
PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning
Many machine translation (MT) evaluation metrics have been shown to correlate better with human judgment than BLEU. In principle, tuning on these metrics should yield better syste...
Boxing Chen, Roland Kuhn, Samuel Larkin
CIKM
2009
Springer
16 years 1 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
ICPR
2000
IEEE
16 years 8 months ago
Snakes and Spiders
We consider di usion processes on a class of R trees. The processes are de ned in a manner similar to that of Le Gall's Brownian snake. Each point in the tree has a real value...
Brendan McCane
SIGSOFT
2003
ACM
16 years 8 months ago
Deadline analysis of interrupt-driven software
Real-time, reactive, and embedded systems are increasingly used throughout society (e.g., flight control, railway signaling, vehicle management, medical devices, and many others)....
Dennis Brylow, Jens Palsberg
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