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CVPR
2005
IEEE
14 years 9 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
PVLDB
2008
131views more  PVLDB 2008»
13 years 7 months ago
Learning to create data-integrating queries
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...
ACL
2006
13 years 9 months ago
Using Machine Learning to Explore Human Multimodal Clarification Strategies
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
Verena Rieser, Oliver Lemon
JAIR
2000
102views more  JAIR 2000»
13 years 7 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
NIPS
2000
13 years 9 months ago
One Microphone Source Separation
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
Sam T. Roweis