Algorithmic Learning Theory 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Gavaldà, Ricard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jantke, Klaus P. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Takimoto, Eiji (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Έκδοση:1st ed. 2003.
Σειρά:Lecture Notes in Artificial Intelligence ; 2842
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Algorithmic Learning Theory  |h [electronic resource] :  |b 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings /  |c edited by Ricard Gavaldà, Klaus P. Jantke, Eiji Takimoto. 
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490 1 |a Lecture Notes in Artificial Intelligence ;  |v 2842 
505 0 |a Invited Papers -- Abduction and the Dualization Problem -- Signal Extraction and Knowledge Discovery Based on Statistical Modeling -- Association Computation for Information Access -- Efficient Data Representations That Preserve Information -- Can Learning in the Limit Be Done Efficiently? -- Inductive Inference -- Intrinsic Complexity of Uniform Learning -- On Ordinal VC-Dimension and Some Notions of Complexity -- Learning of Erasing Primitive Formal Systems from Positive Examples -- Changing the Inference Type - Keeping the Hypothesis Space -- Learning and Information Extraction -- Robust Inference of Relevant Attributes -- Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables -- Learning with Queries -- On the Learnability of Erasing Pattern Languages in the Query Model -- Learning of Finite Unions of Tree Patterns with Repeated Internal Structured Variables from Queries -- Learning with Non-linear Optimization -- Kernel Trick Embedded Gaussian Mixture Model -- Efficiently Learning the Metric with Side-Information -- Learning Continuous Latent Variable Models with Bregman Divergences -- A Stochastic Gradient Descent Algorithm for Structural Risk Minimisation -- Learning from Random Examples -- On the Complexity of Training a Single Perceptron with Programmable Synaptic Delays -- Learning a Subclass of Regular Patterns in Polynomial Time -- Identification with Probability One of Stochastic Deterministic Linear Languages -- Online Prediction -- Criterion of Calibration for Transductive Confidence Machine with Limited Feedback -- Well-Calibrated Predictions from Online Compression Models -- Transductive Confidence Machine Is Universal -- On the Existence and Convergence of Computable Universal Priors. 
650 0 |a Artificial intelligence. 
650 0 |a Computers. 
650 0 |a Algorithms. 
650 0 |a Mathematical logic. 
650 0 |a Natural language processing (Computer science). 
650 1 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Computation by Abstract Devices.  |0 http://scigraph.springernature.com/things/product-market-codes/I16013 
650 2 4 |a Algorithm Analysis and Problem Complexity.  |0 http://scigraph.springernature.com/things/product-market-codes/I16021 
650 2 4 |a Mathematical Logic and Formal Languages.  |0 http://scigraph.springernature.com/things/product-market-codes/I16048 
650 2 4 |a Natural Language Processing (NLP).  |0 http://scigraph.springernature.com/things/product-market-codes/I21040 
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700 1 |a Jantke, Klaus P.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Takimoto, Eiji.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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