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NAACL
1994
15 years 8 months ago
Learning from Relevant Documents in Large Scale Routing Retrieval
The normal practice of selecting relevant documents for training routing queries is to either use all relevants or the 'best n' of them after a (retrieval) ranking opera...
K. L. Kwok, Laszlo Grunfeld
IJPRAI
2008
144views more  IJPRAI 2008»
15 years 6 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
IJNSEC
2006
77views more  IJNSEC 2006»
15 years 6 months ago
Towards a Secure Copyright Protection Infrastructure for e-Education Material: Principles Learned from Experience
Copyright of e-Education material is valuable. The need for protecting it is prominent. In the past two years, we have developed an infrastructure called e-Course eXchange (eCX ) ...
Joe Cho-Ki Yau, Lucas Chi Kwong Hui, Siu-Ming Yiu,...
JMLR
2006
134views more  JMLR 2006»
15 years 6 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
ACL
2010
15 years 4 months ago
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonatha...