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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 8 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
ICDAR
2007
IEEE
16 years 20 days ago
Quantile Linear Algorithm for Robust Binarization of Digitalized Letters
We describe a threshold-based local algorithm for image binarization. The main idea is to compute a transition energy using pixel value differences taken from a neighborhood aroun...
M. Ramírez, Ernesto Tapia, Marco Block, Ra&...
MASCOTS
2004
15 years 7 months ago
Performance Characterisation and Verification of JavaSpaces Based on Design of Experiments
In the ever increasing world of distributed systems, different middleware implementations can be compared qualitatively or quantitatively. Existing evaluation techniques are often...
Frederic Hancke, Tom Dhaene, Jan Broeckhove
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
13 years 8 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong
ATAL
2011
Springer
14 years 6 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...