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EMMCVPR
2003
Springer
13 years 11 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
CHI
2010
ACM
13 years 11 months ago
FrameWire: a tool for automatically extracting interaction logic from paper prototyping tests
Paper prototyping offers unique affordances for interface design. However, due to its spontaneous nature and the limitations of paper, it is difficult to distill and communicate a...
Yang Li, Xiang Cao, Katherine Everitt, Morgan Dixo...
SIGMOD
2010
ACM
277views Database» more  SIGMOD 2010»
13 years 10 months ago
A comparison of join algorithms for log processing in MaPreduce
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
EDBT
2010
ACM
170views Database» more  EDBT 2010»
13 years 9 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
HIS
2007
13 years 7 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin