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NIPS
2008
13 years 8 months ago
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
MEDINFO
2007
266views Healthcare» more  MEDINFO 2007»
13 years 8 months ago
Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
Jayashree Kalpathy-Cramer, William R. Hersh
RIAO
2007
13 years 8 months ago
Investigating Retrieval Performance with Manually-Built Topic Models
Modeling text with topics is currently a popular research area in both Machine Learning and Information Retrieval (IR). Most of this research has focused on automatic methods thou...
Xing Wei, W. Bruce Croft
UAI
2008
13 years 8 months ago
Toward Experiential Utility Elicitation for Interface Customization
User preferences for automated assistance often vary widely, depending on the situation, and quality or presentation of help. Developing effective models to learn individual prefe...
Bowen Hui, Craig Boutilier
AAAI
2006
13 years 8 months ago
Automatically Labeling the Inputs and Outputs of Web Services
Information integration systems combine data from multiple heterogeneous Web services to answer complex user queries, provided a user has semantically modeled the service first. T...
Kristina Lerman, Anon Plangprasopchok, Craig A. Kn...