| 000 | 02894camuu2200325 a 4500 | |
| 001 | 000000822212 | |
| 005 | 20030722133122 | |
| 007 | cruunu | |
| 008 | 980804s1999 maua b 001 0 eng | |
| 010 | ▼a 98040302 | |
| 015 | ▼a GB99-35736 | |
| 020 | ▼a 0262194163 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d WAU ▼d UKM ▼d U6P ▼d OCL ▼d 211009 | |
| 049 | 1 | ▼l 121081571 ▼f 과학 |
| 050 | 0 0 | ▼a Q325.5 ▼b .A32 1999 |
| 082 | 0 0 | ▼a 006.3/1 ▼2 21 |
| 090 | ▼a 006.31 ▼b A244 | |
| 245 | 0 0 | ▼a Advances in kernel methods: ▼b support vector learning / ▼c edited by Bernhard Scho<lkopf, Christopher J.C. Burges, Alexander J. Smola. |
| 260 | ▼a Cambridge, Mass. : ▼b MIT Press , ▼c c1999. | |
| 300 | ▼a vii, 376 p. : ▼b ill. ; ▼c 26 cm. | |
| 504 | ▼a Includes bibliographical references (p. [353]-371) and index. | |
| 505 | 0 | ▼a Preface -- Introduction to support vector learning -- Roadmap -- Three remarks on the support vector method of function estimation / Valdimir Vapnik -- Generalization performance of support vector machines and other pattern classifiers / Peter Bartlett and John Shawe-Taylor -- Bayesian voting schemes and large margin classifiers / Nello Cristianini and John Shawe-Taylor -- Support vector machines, reproducing kernal Hilbert spaces, and randomized GACV / Grace Wahba -- Geometry and invariance in kernel based methods / Christopher J.C. Burgess -- On the annealed VC entropy for margin classifiers : a statistical mechanics study / Manfred Opper -- Entropy numbers, operators and support vector kernels / Robert C. Williamson, Alex J. Smola and Berhard Scho<lkopf -- Solving the quadratic programming problem arising in support vector classification / Linda Kaufman -- Making large-scale support vector machine learning practical / Thorsten Joachims -- Fast training of support vector machines using sequential minimal optimization / John C. Platt -- Support vector machines for dynamic reconstruction of a chaotic system / David Mattera and Simon Haykin -- Using support vector machines for time series prediction / Klaus-Robert Mu<ller .. [et al.] -- Pairwise classification and support vector machines / Ulrich Kressel -- Reducing the run-time complexity in support vector machines / Edgar E. Osuna and Federico Girosi -- Support vector regression with ANOVA decomposition kernels / Mark O. Stitson .. [et al.] -- Support vector density estimation / Jason Weston .. [et al.] -- Combining support vector and mathematical programming methods for classification / Kristin P. Bennett -- Kernel principal component analysis / Berhard Scho<lkopf, Alex J. Smola and Klaus-Robert Mu<ller. |
| 530 | ▼a Also available via the World Wide Web. | |
| 650 | 0 | ▼a Machine learning. |
| 650 | 0 | ▼a Algorithms. |
| 650 | 0 | ▼a Kernel functions. |
| 700 | 1 | ▼a Scho<lkopf, Bernhard. |
| 700 | 1 | ▼a Burges, Christopher J. C. |
| 700 | 1 | ▼a Smola, Alexander J. |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 006.31 A244 | Accession No. 121081571 (24회 대출) | Availability Available | Due Date | Make a Reservation | Service |