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ALT
2001
Springer
16 years 1 months ago
Real-Valued Multiple-Instance Learning with Queries
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
ICALT
2007
IEEE
15 years 10 months ago
Handheld Computer Supported Context-aware learning with 2D Barcodes
This paper reports a study that aims to construct a 2D barcode supported learning system, called HELLO (Handheld English Language Learning Organization), to improve students’ En...
Yu-Ling Chu, Tsung-Yu Liu
TNN
2008
181views more  TNN 2008»
15 years 4 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
120
Voted
COCOON
2005
Springer
15 years 9 months ago
Complexity and Approximation of Satisfactory Partition Problems
The Satisfactory Partition problem consists of deciding if a given graph has a partition of its vertex set into two nonempty parts such that each vertex has at least as many neighb...
Cristina Bazgan, Zsolt Tuza, Daniel Vanderpooten
138
Voted
CP
2004
Springer
15 years 9 months ago
Quality of LP-Based Approximations for Highly Combinatorial Problems
We study the quality of LP-based approximation methods for pure combinatorial problems. We found that the quality of the LPrelaxation is a direct function of the underlying constra...
Lucian Leahu, Carla P. Gomes