Theoretical Computer Science, Volume 405

Volume 405, Numbers 1-2, October 2008

• Ralph Kopperman, Prakash Panangaden, Michael B. Smyth, Dieter Spreen:
  Foreword. 1-2
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• Douglas S. Bridges, Hajime Ishihara, Peter M. Schuster, Luminita Vîta:
  Apartness, compactness and nearness. 3-10
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• Francesco Ciraulo, Giovanni Sambin:
  Finitary formal topologies and Stone's representation theorem. 11-23
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• K. A. Hardie, P. J. Witbooi:
  Finite relational structure models of topological spaces and maps. 24-34
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• Fangping Huang, Jihua Liang:
  On computational environments of topological spaces. 35-40
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• K. E. Jordan, Lance Edward Miller, Edward L. F. Moore, Thomas J. Peters, Alexander Russell:
  Modeling time and topology for animation and visualization with examples on parametric geometry. 41-49
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• Vladik Kreinovich, Olga Kosheleva:
  Computational complexity of determining which statements about causality hold in different space-time models. 50-63
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• Hans-Peter A. Künzi, Vladik Kreinovich:
  Static space-times naturally lead to quasi-pseudometrics. 64-72
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• Jimmie D. Lawson:
  Metric spaces and FS-domains. 73-74
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• Keye Martin:
  Topology in information theory in topology. 75-87
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• Timothy Porter:
  Enriched categories and models for spaces of evolving states. 88-100
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• Peter Schuster:
  The Zariski spectrum as a formal geometry. 101-115
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• Victor L. Selivanov:
  Fine hierarchies and m-reducibilities in theoretical computer science. 116-163
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• Josef Slapal:
  A quotient-universal digital topology. 164-175
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• Dieter Spreen, Luoshan Xu, Xuxin Mao:
  Information systems revisited - the general continuous case. 176-187
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• Sumati Surya:
  Causal set topology. 188-197
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• Hideki Tsuiki, Yasunao Hattori:
  Lawson topology of the space of formal balls and the hyperbolic topology. 198-205
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Volume 405, Number 3, October 2008

• Philip M. Long, Frank Stephan:
  Preface. 207-208
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• Alp Atici, Rocco A. Servedio:
  Learning unions of omega(1)-dimensional rectangles. 209-222
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• Leonid Kontorovich, Corinna Cortes, Mehryar Mohri:
  Kernel methods for learning languages. 223-236
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• Andreas Maurer:
  Unsupervised slow subspace-learning from stationary processes. 237-255
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• Jan Poland:
  Consistency of discrete Bayesian learning. 256-273
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• Daniil Ryabko, Marcus Hutter:
  On the possibility of learning in reactive environments with arbitrary dependence. 274-284
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• Vladimir Vovk:
  Leading strategies in competitive on-line prediction. 285-296
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