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Titlebook: Machine Learning and Data Mining in Pattern Recognition; 5th International Co Petra Perner Conference proceedings 2007 Springer-Verlag Berl

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樓主: bile-acids
41#
發(fā)表于 2025-3-28 18:36:48 | 只看該作者
42#
發(fā)表于 2025-3-28 20:29:20 | 只看該作者
Data Clustering: User’s Dilemmanumber of diverse disciplines. The goal is to partition a set of n d-dimensional points into k clusters, where k may or may not be known. Most clustering techniques require the definition of a similarity measure between patterns, which is not easy to specify in the absence of any prior knowledge abo
43#
發(fā)表于 2025-3-29 01:37:51 | 只看該作者
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers inconclusive results about their impact. Some theoretical understanding of when they work is available, but a definite answer seems to be lacking. This paper derives distributions that maximizes the statewise difference to the respective product of marginals. These distributions are, in a sense the
44#
發(fā)表于 2025-3-29 04:09:14 | 只看該作者
Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parare is much need for improvements in the field of multiclass learning. We developed a novel combination algorithm called ., which is based on posterior class probabilities. It assigns, according to the Bayesian rule, the respective instance to the class with the highest posterior probability. A probl
45#
發(fā)表于 2025-3-29 10:13:32 | 只看該作者
Multi-source Data Modelling: Integrating Related Data to Improve Model Performanceess the lack of model performance for data from which it is difficult to extract relationships. This paper proposes a set of algorithms that allow the integration of data from multiple datasets that are related, as well as results from the implementation of these techniques using data from the field
46#
發(fā)表于 2025-3-29 12:25:35 | 只看該作者
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rulesst for a wrong classification can be so high that can be convenient to avoid a decision and reject the sample. This paper presents a comparison between two different reject rules (the Chow’s and the ROC rule). In particular, the experiments show that the Chow’s rule is inappropriate when the estimat
47#
發(fā)表于 2025-3-29 17:17:15 | 只看該作者
48#
發(fā)表于 2025-3-29 21:09:36 | 只看該作者
49#
發(fā)表于 2025-3-30 01:18:34 | 只看該作者
50#
發(fā)表于 2025-3-30 05:48:21 | 只看該作者
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