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ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
15 years 9 months ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
113
Voted
DIS
2006
Springer
15 years 6 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
133
Voted
ICML
2008
IEEE
16 years 3 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
98
Voted
ICML
2000
IEEE
16 years 3 months ago
A Boosting Approach to Topic Spotting on Subdialogues
We report the results of a study on topic spotting in conversational speech. Using a machine learning approach, we build classifiers that accept an audio file of conversational hu...
Kary Myers, Michael J. Kearns, Satinder P. Singh, ...
DNA
2005
Springer
148views Bioinformatics» more  DNA 2005»
15 years 8 months ago
Photo- and Thermoregulation of DNA Nanomachines
We have been investigating DNA state machines, especially those based on the opening of hairpin molecules in which state transitions are realized as hairpin loops are opened by mo...
Keiichiro Takahashi, Satsuki Yaegashi, Hiroyuki As...