000 | 03791nam a22006135i 4500 | ||
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001 | 978-3-540-49097-5 | ||
003 | DE-He213 | ||
005 | 20240423132529.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1999 gw | s |||| 0|eng d | ||
020 |
_a9783540490975 _9978-3-540-49097-5 |
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024 | 7 |
_a10.1007/3-540-49097-3 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
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_aCOM004000 _2bisacsh |
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_aUYQ _2thema |
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245 | 1 | 0 |
_aComputational Learning Theory _h[electronic resource] : _b4th European Conference, EuroCOLT'99 Nordkirchen, Germany, March 29-31, 1999 Proceedings / _cedited by Paul Fischer, Hans U. Simon. |
250 | _a1st ed. 1999. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
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300 |
_aX, 299 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1572 |
|
505 | 0 | _aInvited Lectures -- Theoretical Views of Boosting -- Open Theoretical Questions in Reinforcement Learning -- Learning from Random Examples -- A Geometric Approach to Leveraging Weak Learners -- Query by Committee, Linear Separation and Random Walks -- Hardness Results for Neural Network Approximation Problems -- Learning from Queries and Counterexamples -- Learnability of Quantified Formulas -- Learning Multiplicity Automata from Smallest Counterexamples -- Exact Learning when Irrelevant Variables Abound -- An Application of Codes to Attribute-Efficient Learning -- Learning Range Restricted Horn Expressions -- Reinforcement Learning -- On the Asymptotic Behavior of a Constant Stepsize Temporal-Difference Learning Algorithm -- On-line Learning and Expert Advice -- Direct and Indirect Algorithms for On-line Learning of Disjunctions -- Averaging Expert Predictions -- Teaching and Learning -- On Teaching and Learning Intersection-Closed Concept Classes -- Inductive Inference -- Avoiding Coding Tricks by Hyperrobust Learning -- Mind Change Complexity of Learning Logic Programs -- Statistical Theory of Learning and Pattern Recognition -- Regularized Principal Manifolds -- Distribution-Dependent Vapnik-Chervonenkis Bounds -- Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition -- On Error Estimation for the Partitioning Classification Rule -- Margin Distribution Bounds on Generalization -- Generalization Performance of Classifiers in Terms of Observed Covering Numbers -- Entropy Numbers, Operators and Support Vector Kernels. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aMachine theory. | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aComputer science. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aFormal Languages and Automata Theory. |
650 | 2 | 4 | _aAlgorithms. |
650 | 2 | 4 | _aTheory of Computation. |
700 | 1 |
_aFischer, Paul. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aSimon, Hans U. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540657019 |
776 | 0 | 8 |
_iPrinted edition: _z9783662208540 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1572 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-49097-3 |
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912 | _aZDB-2-LNC | ||
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942 | _cSPRINGER | ||
999 |
_c188770 _d188770 |