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ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 3 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
JMLR
2012
11 years 11 months ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
MLMI
2007
Springer
14 years 3 months ago
To Separate Speech
The PASCAL Speech Separation Challenge (SSC) is based on a corpus of sentences from the Wall Street Journal task read by two speakers simultaneously and captured with two circular ...
John W. McDonough, Ken'ichi Kumatani, Tobias Gehri...
ICALT
2006
IEEE
14 years 3 months ago
Mobile Technology and Content Delivery in Education
The purpose of this workshop is to identify various issues that are pertinent to the development and delivery of content in the context of mobile devices. The workshop will focus ...
Rory McGreal, Kinshuk
HIP
2005
Springer
172views Cryptology» more  HIP 2005»
14 years 2 months ago
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)
Human interaction proofs (HIPs) have become common place on the internet due to their effectiveness in deterring automated abuse of online services intended for humans. However, th...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...