2208 search results - page 149 / 442 » Privacy-Preserving Classifier Learning |
155
Voted
NIPS
2004
15 years 5 months ago
2004
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
150
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
134
Voted
KDD
2001
ACM
16 years 4 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
114
Voted
HIS
2004
15 years 5 months ago
2004
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
143
Voted
EMNLP
2008
15 years 5 months ago
2008
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...