Algorithmic learning theory. 11th international conference, ALT 2000, Sydney, Australia, December 11--13, 2000. Proceedings (Q1589870)
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scientific article; zbMATH DE number 1542813
| Language | Label | Description | Also known as |
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| English | Algorithmic learning theory. 11th international conference, ALT 2000, Sydney, Australia, December 11--13, 2000. Proceedings |
scientific article; zbMATH DE number 1542813 |
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Algorithmic learning theory. 11th international conference, ALT 2000, Sydney, Australia, December 11--13, 2000. Proceedings (English)
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13 December 2000
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The articles of mathematical interest will be reviewed individually. The preceding conference (10th, 1999) has been reviewed (see Zbl 0929.00070). Indexed articles: \textit{Cohen, William W.}, Extracting information from the web for concept learning and collaborative filtering (extended abstract), 1-12 [Zbl 1046.68544] \textit{Dietterich, Thomas G.}, The divide-and-conquer manifesto, 13-26 [Zbl 1046.68546] \textit{Watanabe, Osamu}, Sequential sampling techniques for algorithmic learning theory, 27-40 [Zbl 1046.68562] \textit{Gács, Peter; Tromp, John; Vitányi, Paul}, Towards an algorithmic statistics (extended abstract), 41-55 [Zbl 1046.68549] \textit{Fitzgibbon, Leigh J.; Allison, Lloyd; Dowe, David L.}, Minimum message length grouping of ordered data, 56-70 [Zbl 1046.68548] \textit{Letouzey, Fabien; Denis, François; Gilleron, Rémi}, Learning from positive and unlabeled examples, 71-85 [Zbl 1046.68553] \textit{Nessel, Jochen; Lange, Steffen}, Learning erasing pattern languages with queries, 86-100 [Zbl 1046.68064] \textit{Grieser, Gunter; Lange, Steffen; Zeugmann, Thomas}, Learning recursive concepts with anomalies, 101-115 [Zbl 1046.68063] \textit{Fernau, Henning}, Identification of function distinguishable languages, 116-130 [Zbl 1046.68062] \textit{McCreath, Eric}, A probabilistic identification result, 131-140 [Zbl 1046.68554] \textit{Uchida, Tomoyuki; Itokawa, Yuko; Shoudai, Takayoshi; Miyahara, Tetsuhiro; Nakamura, Yasuaki}, A new framework for discovering knowledge from two-dimensional structured data using layout formal graph system, 141-155 [Zbl 1046.68561] \textit{Yamamoto, Akihiro; Fronhöfer, Bertram}, Hypotheses finding via residue hypotheses with the resolution principle, 156-165 [Zbl 1046.68563] \textit{Itoh, Yuhsuke; Haraguchi, Makoto}, Conceptual classifications guided by a concept hierarchy, 166-178 [Zbl 1046.68552] \textit{Satoh, Ken}, Learning taxonomic relation by case-based reasoning, 179-193 [Zbl 1046.68557] \textit{Scheffer, Tobias}, Average-case analysis of classification algorithms for Boolean functions and decision trees, 194-208 [Zbl 1046.68559] \textit{Gaur, Daya Ram; Krishnamurti, Ramesh}, Self-duality of bounded monotone Boolean functions and related problems, 209-223 [Zbl 1046.68550] \textit{Nock, Richard; Sebban, Marc}, Sharper bounds for the hardness of prototype and feature selection, 224-237 [Zbl 1046.68555] \textit{Hirata, Kouichi}, On the hardness of learning acyclic conjunctive queries, 238-251 [Zbl 1046.68551] \textit{Tobely, Tarek El.; Yoshiki, Yuichiro; Tsuda, Ryuichi; Tsuruta, Naoyuki; Amamiy, Makoto}, Dynamic hand gesture recognition based on randomized self-organizing map algorithm, 252-263 [Zbl 1046.68648] \textit{DasGupta, Bhaskar; Hammer, Barbara}, On approximate learning by multi-layered feedforward circuits, 264-278 [Zbl 1046.68545] \textit{Takimoto, Eiji; Warmuth, Manfred K.}, The last-step minimax algorithm, 279-290 [Zbl 1046.68560] \textit{Bioch, Jan C.; Popova, Viara}, Rough sets and ordinal classification, 291-305 [Zbl 1046.68543] \textit{Evgeniou, Theodoros; Pontil, Massimiliano}, A note on the generalization performance of kernel classifiers with margin, 306-315 [Zbl 1046.68547] \textit{Pontil, Massimiliano; Mukherjee, Sayan; Girosi, Federico}, On the noise model of support vector machines regression, 316-324 [Zbl 1046.68556] \textit{Saunders, Craig; Gammerman, Alex; Vovk, Volodya}, Computationally efficient transductive machines, 325-333 [Zbl 1046.68558]
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Sydney (Australia)
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Proceedings
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Conference
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ALT 2000
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Algorithmic learning theory
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