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» ONE: A Predictable and Scalable DW Model
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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
13 years 12 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
MICRO
2009
IEEE
133views Hardware» more  MICRO 2009»
13 years 12 months ago
A tagless coherence directory
A key challenge in architecting a CMP with many cores is maintaining cache coherence in an efficient manner. Directory-based protocols avoid the bandwidth overhead of snoop-based ...
Jason Zebchuk, Vijayalakshmi Srinivasan, Moinuddin...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 5 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 5 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
13 years 9 months ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...