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» Hedging predictions in machine learning
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SGAI
2007
Springer
16 years 12 days ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
CP
2006
Springer
15 years 10 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
WWW
2009
ACM
16 years 7 months ago
Personalized recommendation on dynamic content using predictive bilinear models
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
Wei Chu, Seung-Taek Park
BIBM
2008
IEEE
112views Bioinformatics» more  BIBM 2008»
16 years 23 days ago
Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information
Mapping B-cell epitopes plays an important role in vaccine design, immunodiagnostic tests, and antibody production. Because the experimental determination of B-cell epitopes is ti...
Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar
IEEEPACT
2005
IEEE
15 years 12 months ago
A Simple Divide-and-Conquer Approach for Neural-Class Branch Prediction
The continual demand for greater performance and growing concerns about the power consumption in highperformance microprocessors make the branch predictor a critical component of ...
Gabriel H. Loh