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CP
2006
Springer
15 years 1 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...
DIS
2006
Springer
15 years 1 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
EWCBR
2006
Springer
15 years 1 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 1 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
HICSS
2000
IEEE
179views Biometrics» more  HICSS 2000»
15 years 1 months ago
A Novel User Interface for Group Collaboration
Flexible user interfaces that can be customized to meet the needs of the task at hand are particularly important for real-time group collaboration. This paper presents the user in...
Bogdan Dorohonceanu, Boi Sletterink, Ivan Marsic