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» Coactive Learning for Distributed Data Mining
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ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
15 years 4 months ago
Unsupervised Face Annotation by Mining the Web
Searching for images of people is an essential task for image and video search engines. However, current search engines have limited capabilities for this task since they rely on ...
Duy-Dinh Le, Shin'ichi Satoh
93
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
15 years 10 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
KDD
2006
ACM
177views Data Mining» more  KDD 2006»
15 years 10 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
PAKDD
2010
ACM
128views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Privacy-Preserving Network Aggregation
Abstract. Consider the scenario where information about a large network is distributed across several different parties or commercial entities. Intuitively, we would expect that th...
Troy Raeder, Marina Blanton, Nitesh V. Chawla, Kei...
SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
15 years 7 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh