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» Boosting-Based Learning Agents for Experience Classification
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AAAI
2006
13 years 6 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
AAAI
2010
13 years 6 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
TASLP
2002
143views more  TASLP 2002»
13 years 4 months ago
Creating conversational interfaces for children
Creating conversational interfaces for children is challenging in several respects. These include acoustic modeling for automatic speech recognition (ASR), language and dialog mode...
Shrikanth S. Narayanan, Alexandros Potamianos
CHI
2006
ACM
14 years 5 months ago
A goal-oriented web browser
Many users are familiar with the interesting but limited functionality of Data Detector interfaces like Microsoft's Smart Tags and Google's AutoLink. In this paper we si...
Alexander Faaborg, Henry Lieberman
AAAI
2006
13 years 6 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung