Search results for "learning theory"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Avrim Blum, Katrina Ligett, Aaron Roth	A learning theory approach to non-interactive database privacy.	STOC	2008	DBLP DOI BibTeX RDF	non-interactive database privacy, learning theory
3	Hans-Ulrich Simon	Spectral Norm in Learning Theory: Some Selected Topics.	ALT	2006	DBLP DOI BibTeX RDF
3	Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, Marc Schoenauer	A statistical learning theory approach of bloat.	GECCO	2005	DBLP DOI BibTeX RDF	genetic programming, statistical learning theory, code growth, code bloat
3	Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Cherkassky	Motion Estimation Using Statistical Learning Theory.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF	complexity control, image flow, tracking, motion estimation, model selection, condition number, statistical learning theory, visual motion, Aperture problem, robust learning
3	Peter L. Bartlett, Shahar Mendelson, Petra Philips	Local Complexities for Empirical Risk Minimization.	COLT	2004	DBLP DOI BibTeX RDF	concentration inequalities, isomorphic coordinate projections, data-dependent complexity, Statistical learning theory, empirical risk minimization, generalization bounds
3	Massimiliano Pontil	A Short Review of Statistical Learning Theory.	WIRN	2002	DBLP DOI BibTeX RDF	Regularization, Statistical learning theory, Structural risk minimization
3	William H. Money	Applying social cognitive learning theory to the application of group support systems (GSSs) in classroom settings.	HICSS	1995	DBLP DOI BibTeX RDF	social cognitive learning theory, classroom settings, prototype educational experimenters information systems, course module, module covering systems analysis, organizational data, learning (artificial intelligence), group support systems, group decision support systems, reciprocity, computer aided instruction, cognitive systems, educational computing
2	Ricardo Villamarín-Salomón, José Carlos Brustoloni	Using reinforcement to strengthen users' secure behaviors.	CHI	2010	DBLP DOI BibTeX RDF	audited dialogs, context-sensitive guidance, observational learning, operant conditioning, polymorphic dialogs, security-reinforcing application, social learning theory, vicarious learning, vicarious security reinforcement
2	Tie-Yan Liu	Learning to rank for information retrieval.	SIGIR	2010	DBLP DOI BibTeX RDF	ranking models, information retrieval, learning to rank, learning theory
2	Shujing Yan, Minghu Ha, Xiankun Zhang, Chao Wang	The Key Theorem of Learning Theory on Uncertainty Space.	ISNN	2009	DBLP DOI BibTeX RDF	Uncertain measure, Expected risk functional, Empirical risk functional, Empirical risk minimization principle, the key theorem
2	Min Yang, Yunxia Song, Zhuo Sun	Constructive Learning Theory and Designing Principles of CALL Courseware in Different Teaching Modes.	IFITA	2009	DBLP DOI BibTeX RDF	Constructivist Learning Theory, Teaching Mode, Constructivism, Courseware, CALL
2	Yishay Mansour	Learning and Domain Adaptation.	ALT	2009	DBLP DOI BibTeX RDF
2	Marta Arias, José L. Balcázar	Canonical Horn Representations and Query Learning.	ALT	2009	DBLP DOI BibTeX RDF
2	Robert D. Kleinberg, Georgios Piliouras, Éva Tardos	Load balancing without regret in the bulletin board model.	PODC	2009	DBLP DOI BibTeX RDF	game theory, price of anarchy, learning theory
2	Kim Nee Goh, Yoke Yie Chen, Emy Elyanee Mustapha, Subarna Sivapalan, Sharina Nordin	Design of a Web Intervention to Change Youth Smoking Habits.	HCI	2009	DBLP DOI BibTeX RDF	Gagne’s Condition of Learning Theory, Cognitive Dissonance, Web Intervention, HCI, User Interface, Smoking
2	Cédric Dégremont, Nina Gierasimczuk	Can Doxastic Agents Learn? On the Temporal Structure of Learning.	LORI	2009	DBLP DOI BibTeX RDF	Formal learning theory, doxastic epistemic logic, epistemic update, temporal logic, belief revision, dynamic epistemic logic
2	Nina Gierasimczuk, Lena Kurzen, Fernando R. Velázquez-Quesada	Learning and Teaching as a Game: A Sabotage Approach.	LORI	2009	DBLP DOI BibTeX RDF	Formal learning theory, sabotage games, inductive inference games, game theory, modal logic, learning algorithms
2	Minghui Ma	Dynamic Epistemic Logic of Finite Identification.	LORI	2009	DBLP DOI BibTeX RDF	finite identification, learning theory, dynamic epistemic logic
2	Ryosuke Iriguchi, Sumio Watanabe	Estimation of Poles of Zeta Function in Learning Theory Using Padé Approximation.	ICANN	2007	DBLP DOI BibTeX RDF
2	Dana Ron	Property Testing: A Learning Theory Perspective.	COLT	2007	DBLP DOI BibTeX RDF
2	Sofia Mysirlaki, Fotini Paraskeva	Digital games: Developing the Issues of Socio-cognitive Learning Theory in an Attempt to Shift an Entertainment Gadget to an Educational Tool.	DIGITEL	2007	DBLP DOI BibTeX RDF
2	Cristina Tîrnauca, Timo Knuutila	Polynomial Time Algorithms for Learning k -Reversible Languages and Pattern Languages with Correction Queries.	ALT	2007	DBLP DOI BibTeX RDF	k-reversible languages, pattern languages, polynomial algorithms, Correction queries
2	Vikraman Arvind, Johannes Köbler, Wolfgang Lindner	Parameterized Learnability of k -Juntas and Related Problems.	ALT	2007	DBLP DOI BibTeX RDF	Subject Classification Learning theory, computational complexity
2	Marcus Hutter, Rocco A. Servedio, Eiji Takimoto	Editors' Introduction.	ALT	2007	DBLP DOI BibTeX RDF
2	Sudipto Guha, Piotr Indyk, Andrew McGregor	Sketching Information Divergences.	COLT	2007	DBLP DOI BibTeX RDF
2	Gilles Blanchard, François Fleuret	Occam's Hammer.	COLT	2007	DBLP DOI BibTeX RDF
2	Alexandre Belloni, Robert M. Freund, Santosh Vempala	An Efficient Re-scaled Perceptron Algorithm for Conic Systems.	COLT	2007	DBLP DOI BibTeX RDF
2	Cheng-Huang Jiang, Shiuhpyng Shieh, Jen-Chien Liu	Keystroke statistical learning model for web authentication.	ASIACCS	2007	DBLP DOI BibTeX RDF	keystroke, hidden Markov model, statistical learning theory, Gaussian model, web authentication
2	Carlotta Orsenigo, Carlo Vercellis	Softening the Margin in Discrete SVM.	Industrial Conference on Data Mining	2007	DBLP DOI BibTeX RDF	discrete support vector machines, biolife sciences, data mining, classification, statistical learning theory
2	Spyros A. Reveliotis, Theologos Bountourelis	Efficient PAC Learning for Episodic Tasks with Acyclic State Spaces.	Discrete Event Dynamic Systems	2007	DBLP DOI BibTeX RDF	Efficient probably approximately correct (PAC) algorithms, Ranking & selection, Machine learning, Markov decision processes, Computational learning theory, Uncertainty management
2	Minghu Ha, Yan Li, Jia Li, Da-Zeng Tian	The key theorem and the bounds on the rate of uniform convergence of learning theory on Sugeno measure space.	Science in China Series F: Information Sciences	2006	DBLP DOI BibTeX RDF	Sugeno measure, the empirical risk minimization principle, the key theorem, the bounds on the rate of uniform convergence
2	Hans-Ulrich Simon	Spectral Norm in Learning Theory: Some Selected Topics.	Discovery Science	2006	DBLP DOI BibTeX RDF
2	Matti Kääriäinen	Active Learning in the Non-realizable Case.	ALT	2006	DBLP DOI BibTeX RDF
2	José L. Balcázar, Philip M. Long, Frank Stephan	Editors' Introduction.	ALT	2006	DBLP DOI BibTeX RDF
2	Claire Monteleoni	Efficient Algorithms for General Active Learning.	COLT	2006	DBLP DOI BibTeX RDF
2	Adam R. Klivans, Alexander A. Sherstov	Improved Lower Bounds for Learning Intersections of Halfspaces.	COLT	2006	DBLP DOI BibTeX RDF
2	Homin K. Lee, Rocco A. Servedio, Andrew Wan	DNF Are Teachable in the Average Case.	COLT	2006	DBLP DOI BibTeX RDF
2	György Turán	On Learning and Logic.	COLT	2006	DBLP DOI BibTeX RDF
2	Qiang Wu, Yiming Ying, Ding-Xuan Zhou	Learning Rates of Least-Square Regularized Regression.	Foundations of Computational Mathematics	2006	DBLP DOI BibTeX RDF	Regularization error, Regularization scheme, Learning theory, Reproducing kernel Hilbert space, Covering number
2	Fangyan Lu, Hongwei Sun	Positive definite dot product kernels in learning theory.	Adv. Comput. Math.	2005	DBLP DOI BibTeX RDF	conditionally positive definite, Gramian positive functions, Mercer kernels, positive definite
2	Kayvan Najarian	A Fixed-Distribution PAC Learning Theory for Neural FIR Models.	J. Intell. Inf. Syst.	2005	DBLP DOI BibTeX RDF	nonlinear FIR model, multi-layer feedforward neural networks, m-dependency, PAC learning
2	Cory Kissinger	Can We Enhance Performance via Learning Theory?.	VL/HCC	2005	DBLP DOI BibTeX RDF
2	Yiming Zhao, Mingmin Zhang, Shu Wang, Yefang Chen	Exploring Constructivist Learning Theory and Course Visualization on Computer Graphics.	ICCSA	2005	DBLP DOI BibTeX RDF
2	Frank J. Balbach, Thomas Zeugmann	Teaching Learners with Restricted Mind Changes.	ALT	2005	DBLP DOI BibTeX RDF
2	Hirotaka Kato, Satoshi Matsumoto, Tetsuhiro Miyahara	Learning of Elementary Formal Systems with Two Clauses Using Queries.	ALT	2005	DBLP DOI BibTeX RDF
2	Sanjay Jain, Hans-Ulrich Simon, Etsuji Tomita	Editors' Introduction.	ALT	2005	DBLP DOI BibTeX RDF
2	Lorenzo Carlucci, John Case, Sanjay Jain, Frank Stephan	Non U-Shaped Vacillatory and Team Learning.	ALT	2005	DBLP DOI BibTeX RDF
2	Zhigeng Pan, Jiejie Zhu, Mingmin Zhang, Weihua Hu	Collaborative Virtual Learning Environment Using Synthetic Characters.	ICWL	2005	DBLP DOI BibTeX RDF	Collaborative Virtual Learning Environment, Constructivist Learning Theory, Social Interaction, Knowledge Visualization, Synthetic Character
2	César Luis Alonso, José Luis Montaña, Luis Miguel Pardo	On the Number of Random Digits Required in MonteCarlo Integration of Definable Functions.	MFCS	2005	DBLP DOI BibTeX RDF	MonteCarlo algorithms, discrepancy bounds, Chebyshev inequalities, semi-algebraic geometry, learning theory
2	Wojciech Jaworski	Model Selection and Assessment for Classification Using Validation.	RSFDGrC	2005	DBLP DOI BibTeX RDF	Model Assessment, Hold-Out Estimate, Train-and-Test, Validation, Model Selection, Computational learning theory
2	Ramasubramanian Sundararajan, Asim K. Pal	Learning with an Embedded Reject Option: A Statistical Learning Theory Perspective.	ICAISC	2004	DBLP DOI BibTeX RDF
2	Amiran Ambroladze, John Shawe-Taylor	Complexity of Pattern Classes and Lipschitz Property.	ALT	2004	DBLP DOI BibTeX RDF
2	Wojciech Jaworski	A Note on the Regularization Algorithm.	Rough Sets and Current Trends in Computing	2004	DBLP DOI BibTeX RDF	regularization algorithm, approximate regularization algorithm, computational learning theory
2	Xiangying Wang, Yixin Zhong	Statistical Learning Theory and State of the Art in SVM.	IEEE ICCI	2003	DBLP DOI BibTeX RDF
2	Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi	Introduction to Statistical Learning Theory.	Advanced Lectures on Machine Learning	2003	DBLP DOI BibTeX RDF
2	Naftali Tishby	Efficient Data Representations That Preserve Information.	ALT	2003	DBLP DOI BibTeX RDF
2	Thomas Zeugmann	Can Learning in the Limit Be Done Efficiently?	ALT	2003	DBLP DOI BibTeX RDF
2	Ran Gilad-Bachrach, Amir Navot, Naftali Tishby	An Information Theoretic Tradeoff between Complexity and Accuracy.	COLT	2003	DBLP DOI BibTeX RDF
2	Michael L. Littman	Tutorial: Learning Topics in Game-Theoretic Decision Making.	COLT	2003	DBLP DOI BibTeX RDF
2	Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich	Preference Elicitation and Query Learning.	COLT	2003	DBLP DOI BibTeX RDF
2	John Case, Keh-Jiann Chen, Sanjay Jain, Wolfgang Merkle, James S. Royer	Generality's Price: Inescapable Deficiencies in Machine-Learned Programs.	COLT	2003	DBLP DOI BibTeX RDF
2	Nader H. Bshouty, Lynn Burroughs	Bounds for the Minimum Disagreement Problem with Applications to Learning Theory.	COLT	2002	DBLP DOI BibTeX RDF
2	Shahar Mendelson	A Few Notes on Statistical Learning Theory.	Machine Learning Summer School	2002	DBLP DOI BibTeX RDF
2	Susumu Hayashi	Mathematics Based on Learning.	ALT	2002	DBLP DOI BibTeX RDF
2	Eric Martin, Arun Sharma, Frank Stephan	Learning, Logic, and Topology in a Common Framework.	ALT	2002	DBLP DOI BibTeX RDF
2	Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk	Editors' Introduction.	ALT	2002	DBLP BibTeX RDF
2	Jürgen Forster, Hans-Ulrich Simon	On the Smallest Possible Dimension and the Largest Possible Margin of Linear Arrangements Representing Given Concept Classes Uniform Distribution.	ALT	2002	DBLP DOI BibTeX RDF
2	Christos H. Papadimitriou	Learning the Internet.	COLT	2002	DBLP DOI BibTeX RDF
2	Jian Sun, Ruimin Shen, Fan Yang 0003	An Adaptive Learning Algorithm Aimed at Improving RBF Network Generalization Ability.	Australian Joint Conference on Artificial Intelligence	2002	DBLP DOI BibTeX RDF	RBF network, statistics learning theory, regularization theory, generalization ability
2	Theodoros Evgeniou, Massimiliano Pontil	Learning Preference Relations from Data.	WIRN	2002	DBLP DOI BibTeX RDF	Preference relations, Statistical learning theory
2	Stephen Kwek	Learning Intermediate Concepts.	ALT	2001	DBLP DOI BibTeX RDF	multiple concepts, mistake bound algorithm, PAC learning, membership queries, exact learning
2	Naoki Abe, Roni Khardon, Thomas Zeugmann	Editors' Introduction.	ALT	2001	DBLP BibTeX RDF
2	Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman	Pattern Recognition and Density Estimation under the General i.i.d. Assumption.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
2	David G. Stork	Toward a Computational Theory of Data Acquisition and Truthing.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF	monitoring data quality, data truthing, open data collection, anomalous data detection, learning with queries, cost-based learning, Open Mind Initiative
2	Nicolò Cesa-Bianchi, Gábor Lugosi	Potential-Based Algorithms in Online Prediction and Game Theory.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF	universal prediction, Blackwell's strategy, weighted average predictors, internal regret, boosting, on-line learning, Perceptron algorithm
2	Kouichi Hirata, Hiroshi Sakamoto	Prediction-Preserving Reducibility with Membership Queries on Formal Languages.	FCT	2001	DBLP DOI BibTeX RDF	prediction-preserving reduction with membership queries, prediction with membership queries, pattern languages, learning theory, context-free grammars, grammatical inference
2	Hirotaka Ono, Mutsunori Yagiura, Toshihide Ibaraki	An Index for the Data Size to Extract Decomposable Structures in LAD.	ISAAC	2001	DBLP DOI BibTeX RDF	logical analysis of data, decomposable functions, Boolean functions, random graphs, probabilistic analysis, computational learning theory
2	Christophe Costa Florêncio	Consistent Identification in the Limit of Any of the Classes k -Valued Is NP-hard.	LACL	2001	DBLP DOI BibTeX RDF	Learning theory, Grammatical inference, Categorial grammars, Formal language theory
2	Osamu Watanabe	Sequential Sampling Techniques for Algorithmic Learning Theory.	ALT	2000	DBLP DOI BibTeX RDF
2	Thomas G. Dietterich	The Divide-and-Conquer Manifesto.	ALT	2000	DBLP DOI BibTeX RDF
2	Roger Box, Michael Whitelaw	Experiences when migrating from structured analysis to object-oriented modelling.	ACSE	2000	DBLP DOI BibTeX RDF	constructivist learning theory, abstraction, object-oriented modelling, concept map, learning difficulties, object diagram
2	Roberto A. Reyna, Daniel Esteve, Dominique Houzet, Marie-France Albenge	Implementation of the SVM Neural Network Generalization Function for Image Processing.	CAMP	2000	DBLP DOI BibTeX RDF	SVM neural network generalization function, optimal decision hyperplane, training database, FPGA, Support Vector Machines, image processing, localization, VHDL, image classification, image classification, object detection, weights, learning process, statistical learning theory
2	Marcus Schaefer	Deciding the K-Dimension is PSPACE-Complete. (PDF / PS)	IEEE Conference on Computational Complexity	2000	DBLP DOI BibTeX RDF	computational complexity, learning theory, PSPACE
2	Francesco Masulli, Giorgio Valentini	Parallel Non Linear Dichotomizers.	IJCNN	2000	DBLP DOI BibTeX RDF	learning machines for classi1/2cation, decomposition of polychotomies into dichotomies, Generalization, statistical learning theory
2	Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur	Generalization Performance of Multiclass Discriminant Models.	IJCNN	2000	DBLP DOI BibTeX RDF	Multiclass Margin, Neural Networks, Discrimination, Generalization Error, Statistical Learning Theory, Covering Numbers
2	Chidanand Apté, Leora Morgenstern, Se June Hong	AI at IBM Research. (PDF / PS)	IEEE Intelligent Systems	2000	DBLP DOI BibTeX RDF	statistical AI, representation and reasoning, AI, vision, learning theory, game-playing
2	Thomas Johansson, Fredrik Jönsson	Fast Correlation Attacks through Reconstruction of Linear Polynomials.	CRYPTO	2000	DBLP DOI BibTeX RDF	reconstruction of polynomials, Stream ciphers, learning theory, correlation attacks
2	Meera Sitharam, Timothy Straney	Sampling Boolean Functions over Abelian Groups and Applications.	Appl. Algebra Eng. Commun. Comput.	2000	DBLP DOI BibTeX RDF	Invariant factor decomposition, Data compression, Boolean functions, Pseudorandom generators, VC-dimension, Computational learning theory, Diophantine equations, Linearity testing, Abelian groups
2	Vladimir Vapnik	An overview of statistical learning theory.	IEEE Transactions on Neural Networks	1999	DBLP DOI BibTeX RDF
2	Steffen Lange, Gunter Grieser	On the Strength of Incremental Learning.	ATL	1999	DBLP DOI BibTeX RDF
2	Katharina Morik	Tailoring Representations to Different Requirements.	ATL	1999	DBLP DOI BibTeX RDF
2	Kenji Fukumizu	Generalization Error of Limear Neural Networks in Unidentifiable Cases.	ATL	1999	DBLP DOI BibTeX RDF
2	Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf	Entropy Numbers, Operators and Support Vector Kernels.	EuroCOLT	1999	DBLP DOI BibTeX RDF
2	Nicolas Vayatis, Robert Azencott	Distribution-Dependent Vapnik-Chervonenkis Bounds.	EuroCOLT	1999	DBLP DOI BibTeX RDF
2	Michael M. Richter, Carl H. Smith, Rolf Wiehagen, Thomas Zeugmann	Editor's Introduction.	ALT	1998	DBLP DOI BibTeX RDF
2	Tom Head, Satoshi Kobayashi, Takashi Yokomori	Locality, Reversibility, and Beyond: Learning Languages from Positive Data.	ALT	1998	DBLP DOI BibTeX RDF
2	Ken Satoh	Analysis of Case-Based Representability of Boolean Functions by Monotone Theory.	ALT	1998	DBLP DOI BibTeX RDF
2	Rini van Solingen, Egon Berghout, Erik Kooiman	Assessing Feedback Of Measurement Data: Relating Schlumberger Rps Practice To Learning Theory.	IEEE METRICS	1997	DBLP DOI BibTeX RDF	measurement data feedback assessment, Schlumberger RPS practice, project team members, feedback sessions, quality improvement program, software metrics, software measurement, learning theory, user involvement, software development projects
2	Leonard Pitt	On Exploiting Knowledge and Concept Use in Learning Theory.	ALT	1997	DBLP DOI BibTeX RDF
2	Andreas Birkendorf	On Fast and Simple Algorithms for Finding Maximal Subarrays and Applications in Learning Theory.	EuroCOLT	1997	DBLP DOI BibTeX RDF