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» A Study of Empirical Learning for an Involved Problem
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ECML
1998
Springer
15 years 4 months ago
A Monotonic Measure for Optimal Feature Selection
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
Huan Liu, Hiroshi Motoda, Manoranjan Dash
APSEC
2006
IEEE
15 years 5 months ago
Genericity - a "Missing in Action" Key to Software Simplification and Reuse
We hypothesize that certain program complexities and difficulties to realize reuse potentials have their roots in weak mechanisms for generic design of today’s programming techn...
Stan Jarzabek
ICML
2010
IEEE
15 years 1 days ago
Application of Machine Learning To Epileptic Seizure Detection
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Ali H. Shoeb, John V. Guttag
ICSE
2007
IEEE-ACM
15 years 12 months ago
A Discreet, Fault-Tolerant, and Scalable Software Architectural Style for Internet-Sized Networks
Large networks, such as the Internet, pose an ideal medium for solving computationally intensive problems, such as NP-complete problems, yet no well-scaling architecture for Inter...
Yuriy Brun
FLAIRS
2007
15 years 2 months ago
Search Ordering Heuristics for Restarts-Based Constraint Solving
Constraint Satisfaction Problems are ubiquitous in Artificial Intelligence. Over the past decade significant advances have been made in terms of the size of problem instance tha...
Margarita Razgon, Barry O'Sullivan, Gregory M. Pro...