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3篇 您的检索式:作者名="Timo Honkela"
    题名 作者 年代 出处 被引量
1WEBSOM-Self organizing maps of document collection 显示文摘Samuel Kaski Timo Honkela Krista Lagus 1998Neurocomputing1998,21,13:1
2WEBSOM-Self Organizing Maps of Document Collections 显示文摘Timo Honkela Samuel Kaski Krista Lagus Teuvo Kohanen 1997Proceedings of WSOM1997,,6:1
3Negative Selection of Written Language Using Character Multiset Statistics显示文摘We study the combination of symbol frequence analysis and negative selection for anomaly detection of discrete sequences where conventional negative selection algorithms are not practical due to data sparsity.Theoretical analysis on ergodic Markov chains is used to outline the properties of the presented anomaly detection algorithm and to predict the probability of successful detection.Simulations are used to evaluate the detection sensitivity and the resolution of the analysis on both generated artificial data and real-world language data including the English Wikipedia.Simulation results on large reference corpora are used to study the effects of the assumptions made in the theoretical model in comparison to real-world data.Matti Pll Timo Honkela 2010Journal of Computer Science & Technology2010,25,6:0
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