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» On Learning Boolean Functions
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SIGIR
2011
ACM
14 years 9 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
MICCAI
2005
Springer
16 years 7 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 6 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
STOC
2002
ACM
115views Algorithms» more  STOC 2002»
16 years 6 months ago
Reimer's inequality and tardos' conjecture
Let f : {0, 1}n {0, 1} be a boolean function. For 0 let D (f) be the minimum depth of a decision tree for f that makes an error for fraction of the inputs x {0, 1}n . We also ma...
Clifford D. Smyth
ICCD
2005
IEEE
116views Hardware» more  ICCD 2005»
16 years 3 months ago
Enhanced Dual-Transition Probabilistic Power Estimation with Selective Supergate Analysis
Consideration of pairs of transition in probabilistic simulation allows power estimation for digital circuits in which inertial delays can filter glitches [5]. However, the merit ...
Fei Hu, Vishwani D. Agrawal