Innovations in machine learning : theory and applications /
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| Imprint: | Berlin ; New York : Springer, ©2006. |
|---|---|
| Description: | 1 online resource (xvi, 274 pages) : illustrations. |
| Language: | English |
| Series: | Studies in fuzziness and soft computing, 1860-0808 ; v. 194 Studies in fuzziness and soft computing ; v. 194. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11068937 |
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| 049 | |a MAIN | ||
| 245 | 0 | 0 | |a Innovations in machine learning : |b theory and applications / |c Dawn E. Holmes, Lakhmi C. Jain (eds.). |
| 260 | |a Berlin ; |a New York : |b Springer, |c ©2006. | ||
| 300 | |a 1 online resource (xvi, 274 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
| 337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
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| 490 | 1 | |a Studies in fuzziness and soft computing, |x 1860-0808 ; |v v. 194 | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 1 | |a "Machine learning is currently one of the most rapidly growing areas of research in computer science. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained." "Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for postgraduate since it shows the direction of current research."--Jacket. | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a A Bayesian Approach to Causal Discovery -- A Tutorial on Learning Causal Influence -- Learning Based Programming -- N-1 Experiments Suffice to Determine the Causal Relations Among N Variables -- Support Vector Inductive Logic Programming -- Neural Probabilistic Language Models -- Computational Grammatical Inference -- On Kernel Target Alignment -- The Structure of Version Space. | |
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 0 | |a Artificial intelligence. |0 http://id.loc.gov/authorities/subjects/sh85008180 | |
| 650 | 2 | 4 | |a Appl. Mathematics/Computational Methods of Engineering. |
| 650 | 2 | 4 | |a Artificial Intelligence (incl. Robotics) |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 0 | 7 | |a Artificial intelligence. |2 cct |
| 650 | 0 | 7 | |a Intelligence artificielle. |2 cct |
| 650 | 0 | 7 | |a Apprentissage automatique. |2 cct |
| 650 | 0 | 7 | |a Machine learning. |2 cct |
| 650 | 7 | |a Ingénierie. |2 eclas | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Holmes, Dawn E. |0 http://id.loc.gov/authorities/names/n92065598 |1 http://viaf.org/viaf/40508661 | |
| 700 | 1 | |a Jain, L. C. |0 http://id.loc.gov/authorities/names/n95096324 |1 http://viaf.org/viaf/307207767 | |
| 776 | 0 | 8 | |i Print version: |t Innovations in machine learning. |d Berlin ; New York : Springer, ©2006 |z 3540306099 |z 9783540306092 |w (DLC) 2005937511 |w (OCoLC)65166572 |
| 830 | 0 | |a Studies in fuzziness and soft computing ; |v v. 194. |x 1860-0808 | |
| 856 | 4 | 0 | |u http://link.springer.com/10.1007/3-540-33486-6 |y SpringerLink |
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