111 search results - page 10 / 23 » A Bi-clustering Framework for Categorical Data |
107
Voted
KDD
2005
ACM
15 years 5 months ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
111
Voted
MOBICOM
2003
ACM
15 years 4 months ago
2003
ACM
The competition among wireless data service providers brings in an option for the customers to switch their providers, due to unsatisfactory service or otherwise. However, the exi...
88
Voted
TNN
1998
14 years 11 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
100
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
106
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AAAI
2008
15 years 2 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...