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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
16 years 1 days ago
Genetic programming as a method to develop powerful predictive models for clinical diagnosis
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
Ivar Siccama, Maarten Keijzer
LWA
2008
15 years 8 months ago
Weighted Voting as Approximate MAP Prediction in Pairwise Classification
Weighted voting is the commonly used strategy for combining predictions in pairwise classification. Even though it shows excellent performance in practice, it is often criticized ...
Eyke Hüllermeier, Stijn Vanderlooy
NIPS
2007
15 years 8 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
TIT
2011
140views more  TIT 2011»
15 years 1 months ago
Sequential Quantile Prediction of Time Series
Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model bas...
Gérard Biau, Benoît Patra
INTERSPEECH
2010
15 years 1 months ago
A rule-based backchannel prediction model using pitch and pause information
We manually designed rules for a backchannel (BC) prediction model based on pitch and pause information. In short, the model predicts a BC when there is a pause of a certain lengt...
Khiet P. Truong, Ronald Poppe, Dirk Heylen