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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 1 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 ...
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
16 years 1 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
180
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ICNP
2009
IEEE
16 years 1 months ago
CUBS: Coordinated Upload Bandwidth Sharing in Residential Networks
— Millions of residential users are widely served by cable or DSL connections with modest upload bandwidth and relatively high download bandwidth. For the increasingly important ...
Enhua Tan, Lei Guo, Songqing Chen, Xiaodong Zhang
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
16 years 1 months ago
Collision avoidance in dynamic environments: An ICS-based solution and its comparative evaluation
Abstract— This paper presents ICS-AVOID, a collision avoidance scheme based upon the concept of Inevitable Collision State (ICS), ie a state for which, no matter what the future ...
Luis Martinez-Gomez, Thierry Fraichard
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