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DAGSTUHL
2001
15 years 8 months ago
Understanding Algorithms by Means of Visualized Path Testing
Visualization of an algorithm offers only a rough picture of operations. Explanations are crucial for deeper understanding, because they help the viewer to associate the visualiza...
Ari Korhonen, Erkki Sutinen, Jorma Tarhio
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CONSTRAINTS
2007
122views more  CONSTRAINTS 2007»
15 years 6 months ago
Stochastic Local Search Algorithms for Graph Set T -colouring and Frequency Assignment
The graph set T-colouring problem (GSTCP) generalises the classical graph colouring problem; it asks for the assignment of sets of integers to the vertices of a graph such that co...
Marco Chiarandini, Thomas Stützle
TIP
2008
168views more  TIP 2008»
15 years 6 months ago
A Real-Time Algorithm for the Approximation of Level-Set-Based Curve Evolution
Abstract--In this paper, we present a complete and practical algorithm for the approximation of level-set-based curve evolution suitable for real-time implementation. In particular...
Yonggang Shi, William Clement Karl
TNN
2008
181views more  TNN 2008»
15 years 6 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