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» On learning algorithm selection for classification
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CEAS
2008
Springer
15 years 8 months ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins
INTENV
2010
15 years 1 months ago
Energy Prediction in Smart Environments
In the past decade, smart home environment research has found application in many areas, such as activity recognition, visualization, and automation. However, less attention has be...
Chao Chen, Barnan Das, Diane J. Cook
JAIR
2008
120views more  JAIR 2008»
15 years 6 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch
ICANN
2005
Springer
16 years 3 days ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
AAAI
2010
15 years 8 months ago
User-Specific Learning for Recognizing a Singer's Intended Pitch
We consider the problem of automatic vocal melody transcription: translating an audio recording of a sung melody into a musical score. While previous work has focused on finding t...
Andrew Guillory, Sumit Basu, Dan Morris