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» Learning and Generalization with the Information Bottleneck
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JCDL
2005
ACM
100views Education» more  JCDL 2005»
15 years 3 months ago
Automatic extraction of titles from general documents using machine learning
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
SIGIR
2008
ACM
14 years 9 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ICML
2008
IEEE
15 years 10 months ago
Query-level stability and generalization in learning to rank
This paper is concerned with the generalization ability of learning to rank algorithms for information retrieval (IR). We point out that the key for addressing the learning proble...
Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang...
CORR
2012
Springer
232views Education» more  CORR 2012»
13 years 5 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
ATAL
2007
Springer
15 years 1 months ago
Dynamically learning sources of trust information: experience vs. reputation
Categories and Subject Descriptors Artificial Intelligence Intelligent Agents, Multiagent Systems General Terms Keywords
Karen Fullam, K. Suzanne Barber