Extending k-means with the description comes first approach
Jerzy Stefanowski, Dawid Weiss (2007)
Control and Cybernetics
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Displaying similar documents to “Extraction of Polish noun senses from large corpora by means of clustering”
Extending k-means with the description comes first approach
Automatic Identification of False Friends in Parallel Corpora: Statistical and Semantic Approach
Nakov, Svetlin (2009)
Serdica Journal of Computing
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False friends are pairs of words in two languages that are perceived as similar but have different meanings. We present an improved algorithm for acquiring false friends from sentence-level aligned parallel corpus based on statistical observations of words occurrences and co-occurrences in the parallel sentences. The results are compared with an entirely semantic measure for cross-lingual similarity between words based on using the Web as a corpus through analyzing the words’ local contexts...
HFP-Outlier: Frequent Pattern Based Outlier Detection
Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng (2005)
Computer Science and Information Systems
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A Dynamic Alignment Algorithm for Imperfect Speech and Transcript
Ye Tao, Xueqing Li, Bian Wu (2010)
Computer Science and Information Systems
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Multiple-instance learning with pairwise instance similarity
Liming Yuan, Jiafeng Liu, Xianglong Tang (2014)
International Journal of Applied Mathematics and Computer Science
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Experiments with two Approaches for Tracking Drifting Concepts
Koychev, Ivan (2007)
Serdica Journal of Computing
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This paper addresses the task of learning classifiers from streams of labelled data. In this case we can face the problem that the underlying concepts can change over time. The paper studies two mechanisms developed for dealing with changing concepts. Both are based on the time window idea. The first one forgets gradually, by assigning to the examples weight that gradually decreases over time. The second one uses a statistical test to detect changes in concept and then optimizes the...
Ant colony metaphor in a new clustering algorithm
Urszula Boryczka (2010)
Control and Cybernetics
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Improving Categorical Data Clustering Algorithm by Weighting Uncommon Attribute Value Matches
Zengyou He, Xiaofei Xu, Shenchun Deng (2006)
Computer Science and Information Systems
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Combined classifier based on feature space partitioning
Michał Woźniak, Bartosz Krawczyk (2012)
International Journal of Applied Mathematics and Computer Science
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This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier,...