Search results for "PAC"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
92	Arturo Hernández Aguirre, Bill P. Buckles, Antonio Martínez-Alcántara	The probably approximately correct (PAC) population size of a genetic algorithm.	ICTAI	2000	DBLP DOI BibTeX RDF	probably approximately correct, PAC population size, approximately correct behavior, PAC framework, GA population, genetic algorithms, genetic algorithm, probability, learnability, PAC-learning, learning by example, learning machines
80	David Chih-Wei Chang, I-Tao Liao, Jenq Kuen Lee, Wen-Feng Chen, Shau-Yin Tseng, Chein-Wei Jen	PAC DSP Core and Application Processors.	ICME	2006	DBLP DOI BibTeX RDF
72	Kentaro Fukuchi, Toshiki Sato, Haruko Mamiya, Hideki Koike	Pac-pac: pinching gesture recognition for tabletop entertainment system.	AVI	2010	DBLP DOI BibTeX RDF
69	Yung-Chia Lin, Chia-Han Lu, Chung-Ju Wu, Chung-Lin Tang, Yi-Ping You, Ya-Chiao Moo, Jenq Kuen Lee	Effective Code Generation for Distributed and Ping-Pong Register Files: A Case Study on PAC VLIW DSP Cores.	J. Signal Process. Syst.	2008	DBLP DOI BibTeX RDF	ping-pong register files, clustering, parallel processing, compiler, DSP, VLIW
69	Nader H. Bshouty, Dmitry Gavinsky	PAC = PAExact and Other Equivalent Models in Learning.	FOCS	2002	DBLP DOI BibTeX RDF
67	Andrew Hussey	Using Design Patterns to Derive PAC Architectures from Object-Z Specifications.	TOOLS (32)	1999	DBLP DOI BibTeX RDF	PAC, Interactive system architecture, Design patterns, Object-Z
66	Dong-nian Cheng, Yuxiang Hu, Cai-xia Liu	Parallel Algorithm Core: A Novel IPSec Algorithm Engine for Both Exploiting Parallelism and Improving Scalability.	J. Comput. Sci. Technol.	2008	DBLP DOI BibTeX RDF	computer network architecture, parallel processing, numerical analysis, queuing theory, IPSec
66	Farshid Delgosha, Faramarz Fekri	Public-key cryptography using paraunitary matrices.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
66	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
66	Yasuhiro Tajima, Matsuaki Terada	A PAC Learnability of Simple Deterministic Languages.	ICGI	2002	DBLP DOI BibTeX RDF	learning via queries, simple deterministic language, representative sample, PAC learning
63	Christophe Lachenal, Joëlle Coutaz	IntrosPAC: a tool to teach and understand PAC-Amodeus.	IHM	2003	DBLP DOI BibTeX RDF	PAC, PAC-Amodeus, software architecture modelage, teaching HCI, aspect oriented programming
58	David A. McAllester	Simplified PAC-Bayesian Margin Bounds.	COLT	2003	DBLP DOI BibTeX RDF
58	François Denis	PAC Learning from Positive Statistical Queries.	ALT	1998	DBLP DOI BibTeX RDF
55	Peter Auer, Ronald Ortner	A new PAC bound for intersection-closed concept classes.	Mach. Learn.	2007	DBLP DOI BibTeX RDF	PAC bounds, Intersection-closed classes
55	Thierry Duval, Jean-Claude Tarby	Améliorer la conception des applications interactives par l'utilisation conjointe du modèle PAC et des patrons de conception.	IHM	2006	DBLP DOI BibTeX RDF	methodology for GUI design, software architectural models for GUI, design patterns, PAC model
55	Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni	PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	probably approximately correct learning, generalized samples, sample size bounds, signal processing, signal processing, stochastic processes, geometry, learning systems, PAC learning, stochastic geometry, curve reconstruction, geometric reconstruction
51	Nicolò Cesa-Bianchi, Eli Dichterman, Paul Fischer, Eli Shamir 0001, Hans Ulrich Simon	Sample-Efficient Strategies for Learning in the Presence of Noise.	J. ACM	1999	DBLP DOI BibTeX RDF	learning with malicious noise, PAC learning
47	Avrim Blum, Maria-Florina Balcan	Open Problems in Efficient Semi-supervised PAC Learning.	COLT	2007	DBLP DOI BibTeX RDF
47	Lynn C. Miller, Stephen J. Read, Wayne Zachary, Jean-Christophe Le Mentec, Vassil Iordanov, Andrew Rosoff, James Eilbert	The PAC Cognitive Architecture.	IVA	2006	DBLP DOI BibTeX RDF
47	Yung-Chia Lin, Chung-Lin Tang, Chung-Ju Wu, Ming-Yu Hung, Yi-Ping You, Ya-Chiao Moo, Sheng-Yuan Chen, Jenq Kuen Lee	Compiler Supports and Optimizations for PAC VLIW DSP Processors.	LCPC	2005	DBLP DOI BibTeX RDF
47	Ian D. Chakeres, Elizabeth M. Belding-Royer	PAC: Perceptive Admission Control for Mobile Wireless Networks.	QSHINE	2004	DBLP DOI BibTeX RDF
47	Eyal Even-Dar, Shie Mannor, Yishay Mansour	PAC Bounds for Multi-armed Bandit and Markov Decision Processes.	COLT	2002	DBLP DOI BibTeX RDF
47	Paul W. Goldberg	When Can Two Unsupervised Learners Achieve PAC Separation?	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
47	Paolo Ciaccia, Marco Patella	PAC Nearest Neighbor Queries: Approximate and Controlled Search in High-Dimensional and Metric Spaces.	ICDE	2000	DBLP DOI BibTeX RDF	Distance Distribution, Metric Spaces, Nearest Neighbor Search, Approximate Queries, Curse of Dimensionality
44	Maryam Miradi, Andre A. A. Molenaar, Martin F. C. van de Ven	Knowledge Discovery and Data Mining Using Artificial Intelligence to Unravel Porous Asphalt Concrete in the Netherlands.	Intelligent and Soft Computing in Infrastructure Systems Engineering	2009	DBLP DOI BibTeX RDF
44	Stephen H. Muggleton	From ILP to PILP.	SBIA	2008	DBLP DOI BibTeX RDF
44	Chia-Kai Liang, Gene Liu, Homer H. Chen	Light Field Acquisition using Programmable Aperture Camera.	ICIP (5)	2007	DBLP DOI BibTeX RDF
44	H. K. Huang, Aifeng Zhang, Brent J. Liu, Zheng Zhou 0002, Jorge Documet, Nelson E. King, L. W. C. Chan	Data grid for large-scale medical image archive and analysis.	ACM Multimedia	2005	DBLP DOI BibTeX RDF	bone age assessment of children, fault-tolerance archive, image data mining, grid computing, image analysis, data grid, PACS, computational services
44	Evgeny Drukh, Yishay Mansour	Concentration Bounds for Unigrams Language Model.	COLT	2004	DBLP DOI BibTeX RDF
44	Rocco A. Servedio	Smooth Boosting and Learning with Malicious Noise.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
44	Stephen H. Muggleton	Bayesian Inductive Logic Programming.	COLT	1994	DBLP DOI BibTeX RDF
44	Jaeha Kim, Kevin D. Jones, Mark A. Horowitz	Variable domain transformation for linear PAC analysis of mixed-signal systems.	ICCAD	2007	DBLP DOI BibTeX RDF	PAC analysis, domain transformation, linear analysis, simulation
44	Ariel D. Procaccia, Jeffrey S. Rosenschein	Learning to identify winning coalitions in the PAC model.	AAMAS	2006	DBLP DOI BibTeX RDF	coalition formation, PAC learning
42	Maximiliano Miranda, Antonio A. Sánchez-Ruiz, Federico Peinado	Pac-Man or Pac-Bot? Exploring subjective perception of players' humanity in Ms. Pac-Man.	CoSECivi	2017	DBLP BibTeX RDF
41	Sung-Soo Hong, Ju Il Eom	Point and Control: The Intuitive Method to Control Multi-device with Single Remote Control.	HCI (3)	2009	DBLP DOI BibTeX RDF	IR LED, IR Image Sensor, Point and Control, PAC, Multi device Control, Concurrent Control, Remote control, Universal Remote control
40	Yasuhiro Tajima, Yoshiyuki Kotani	Polynomial Time Probabilistic Learning of a Subclass of Linear Languages with Queries.	ICGI	2008	DBLP DOI BibTeX RDF	learning via queries, linear language, representative sample, PAC learning
40	Stephen Kwek	Learning Intermediate Concepts.	ALT	2001	DBLP DOI BibTeX RDF	multiple concepts, mistake bound algorithm, PAC learning, membership queries, exact learning
40	Mary Cryan, Leslie Ann Goldberg, Paul W. Goldberg	Evolutionary Trees can be Learned in Polynomial Time in the Two-State General Markov Model.	FOCS	1998	DBLP DOI BibTeX RDF	PAC Learnability, Algorithms, evolutionary trees, discrete distributions
40	Noga Alon, Shai Ben-David, Nicolò Cesa-Bianchi, David Haussler	Scale-sensitive dimensions, uniform convergence, and learnability.	J. ACM	1997	DBLP DOI BibTeX RDF	uniform laws of large numbers, PAC learning, Vapnik-Chervonenkis dimension
40	Edith Cohen	Learning Noisy Perceptrons by a Perceptron in Polynomial Time.	FOCS	1997	DBLP DOI BibTeX RDF	noisy perceptron learning, linear threshold functions, labeled examples, random classification noise, PAC learnable, linear thresholds, single threshold function, machine learning, polynomial time, learning by example, hypothesis
36	A. Burak Paç, Ezgi Z. Seker	Optimizing Incentive Plans for Renewable Energy Growth in the Electricity Market.	IEEE Access	2024	DBLP DOI BibTeX RDF
36	Malgorzata Pac, Irina Mikutskaya, Jan J. Mulawka	Knowledge Discovery from Medical Data and Development of an Expert System in Immunology.	Entropy	2021	DBLP DOI BibTeX RDF
36	Claudia Arnedo-Pac, Loris Mularoni, Ferran Muiños, Abel Gonzalez-Perez, Núria López-Bigas	OncodriveCLUSTL: a sequence-based clustering method to identify cancer drivers.	Bioinform.	2019	DBLP DOI BibTeX RDF
36	Claudia Arnedo-Pac, Loris Mularoni, Ferran Muiños, Abel Gonzalez-Perez, Núria López-Bigas	OncodriveCLUSTL: a sequence-based clustering method to identify cancer drivers.	Bioinform.	2019	DBLP DOI BibTeX RDF
36	A. Burak Paç, Mustafa Ç. Pinar	On robust portfolio and naïve diversification: mixing ambiguous and unambiguous assets.	Ann. Oper. Res.	2018	DBLP DOI BibTeX RDF
36	Gülay Samatli-Paç, Wenjing Shen, Xinxin Hu	The Impact of Consumer Loss Aversion on Returns Policies and Supply Chain Coordination.	Int. J. Oper. Res. Inf. Syst.	2018	DBLP DOI BibTeX RDF
36	M. Fazil Paç, Sergei Savin, Chander K. Velu	When to adopt a service innovation: Nash equilibria in a competitive diffusion framework.	Eur. J. Oper. Res.	2018	DBLP DOI BibTeX RDF
36	Mustafa Ç. Pinar, A. Burak Paç	Mean semi-deviation from a target and robust portfolio choice under distribution and mean return ambiguity.	J. Comput. Appl. Math.	2014	DBLP DOI BibTeX RDF
36	Miguel A. Lejeune, Gülay Samatli-Paç	Construction of Risk-Averse Enhanced Index Funds.	INFORMS J. Comput.	2013	DBLP DOI BibTeX RDF
36	Muhammed R. Pac, Dan O. Popa	Interval Analysis of Kinematic Errors in Serial Manipulators Using Product of Exponentials Formula.	IEEE Trans Autom. Sci. Eng.	2013	DBLP DOI BibTeX RDF
36	Muhammed R. Pac, Dan O. Popa	Interval analysis for robot precision evaluation.	ICRA	2012	DBLP DOI BibTeX RDF
36	Krishnan S. Anand, M. Fazil Paç, Senthil K. Veeraraghavan	Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services.	Manag. Sci.	2011	DBLP DOI BibTeX RDF
36	Muhammed R. Pac, Dan O. Popa	3-DOF untethered microrobot powered by a single laser beam based on differential thermal dynamics.	ICRA	2011	DBLP DOI BibTeX RDF
36	Gülay Samatli-Paç, Mehmet Rüstü Taner	The role of repair strategy in warranty cost minimization: An investigation via quasi-renewal processes.	Eur. J. Oper. Res.	2009	DBLP DOI BibTeX RDF
36	Muhammed R. Pac, Aydan M. Erkmen, Ismet Erkmen	Control of robotic swarm behaviors based on smoothed particle hydrodynamics.	IROS	2007	DBLP DOI BibTeX RDF
36	Muhammed R. Pac, Aydan M. Erkmen, Ismet Erkmen	Scalable Self-Deployment of Mobile Sensor Networks: A Fluid Dynamics Approach.	IROS	2006	DBLP DOI BibTeX RDF
36	Slawomir Cichon, Marek Gorgon, Miroslaw Pac	Handel-C Design Enhancement for FPGA-Based DV Decoder.	ARC	2006	DBLP DOI BibTeX RDF	video decompression, field programmable gate array, Parallel algorithm, high level languages
36	Muhammed R. Pac, Aydan M. Erkmen, Ismet Erkmen	Towards Fluent Sensor Networks: A Scalable and Robust Self-Deployment Approach.	AHS	2006	DBLP DOI BibTeX RDF
36	Marek Gorgon, Slawomir Cichon, Miroslaw Pac	Real-time Handel-C Based Implementation of DV Decoder.	FPL	2005	DBLP DOI BibTeX RDF
36	Hans Ulrich Simon	Smart PAC-Learners.	ALT	2009	DBLP DOI BibTeX RDF
36	Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand	PAC-Bayesian learning of linear classifiers.	ICML	2009	DBLP DOI BibTeX RDF
36	Jorge Castro, Ricard Gavaldà	Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automata.	ICGI	2008	DBLP DOI BibTeX RDF
36	Stephen J. Read, Lynn C. Miller, Anna Kostygina, Gurveen Chopra, John L. Christensen, Charisse Corsbie-Massay, Wayne Zachary, Jean-Christophe Le Mentec, Vassil Iordanov, Andrew Rosoff	The Personality-Enabled Architecture for Cognition (PAC).	ACII	2007	DBLP DOI BibTeX RDF
36	Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup	PAC-Learning of Markov Models with Hidden State.	ECML	2006	DBLP DOI BibTeX RDF
36	Kee Siong Ng	(Agnostic) PAC Learning Concepts in Higher-Order Logic.	ECML	2006	DBLP DOI BibTeX RDF
36	Vitaly Feldman	Hardness of approximate two-level logic minimization and PAC learning with membership queries.	STOC	2006	DBLP DOI BibTeX RDF	DNF minimization, proper learning, two-level logic minimization, hardness of approximation, uniform distribution, membership queries, truth table
36	Alexander L. Strehl, Lihong Li 0001, Eric Wiewiora, John Langford 0001, Michael L. Littman	PAC model-free reinforcement learning.	ICML	2006	DBLP DOI BibTeX RDF
36	Maria-Florina Balcan, Avrim Blum	A PAC-Style Model for Learning from Labeled and Unlabeled Data.	COLT	2005	DBLP DOI BibTeX RDF
36	François Laviolette, Mario Marchand	PAC-Bayes risk bounds for sample-compressed Gibbs classifiers.	ICML	2005	DBLP DOI BibTeX RDF
36	Frantz Degrigny, Thierry Duval	Utilisation du modèle PAC-Amodeus pour une réutilisation optimale de code dans le développement de plusieurs versions d'un logiciel commercial.	IHM	2004	DBLP DOI BibTeX RDF	efficient implementation of software architectural models, software architectural models for GUIs, software engineering methods for GUIs, design patterns
36	Peter Auer, Ronald Ortner	A New PAC Bound for Intersection-Closed Concept Classes.	COLT	2004	DBLP DOI BibTeX RDF
36	Nader H. Bshouty, Jeffrey C. Jackson, Christino Tamon	Exploring Learnability between Exact and PAC.	COLT	2002	DBLP DOI BibTeX RDF
36	Bruno Apolloni, Fabio Baraghini, Giorgio Palmas	PAC Meditation on Boolean Formulas.	SARA	2002	DBLP DOI BibTeX RDF
36	Kayvan Najarian, Guy Albert Dumont, Michael S. Davies, Nancy E. Heckman	Neural ARX Models and PAC Learning.	AI	2000	DBLP DOI BibTeX RDF
36	Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz	PAC Learning with Nasty Noise.	ALT	1999	DBLP DOI BibTeX RDF
36	Luc De Raedt	PAC-Learning Logic Programs under the Closed-World Assumption.	ISMIS	1996	DBLP DOI BibTeX RDF
36	Shan-Hwei Nienhuys-Cheng, Mark Polman	Sample PAC-Learnability in Model Inference.	ECML	1994	DBLP DOI BibTeX RDF
36	Sanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni	PAC Learning With Generalized Samples and an Application to Stochastic Geometry.	COLT	1992	DBLP DOI BibTeX RDF
33	Wenjun Li, Huaiyu Dai	Distributed Detection in Wireless Sensor Networks Using A Multiple Access Channel.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
33	Adam R. Klivans, Alexander A. Sherstov	Cryptographic Hardness for Learning Intersections of Halfspaces.	FOCS	2006	DBLP DOI BibTeX RDF
33	Chi Wu, Kun-Yuan Hsieh, Yung-Chia Lin, Chung-Ju Wu, Wen-Li Shih, Shih-Chang Chen, Chung-Kai Chen, Chien-Ching Huang, Yi-Ping You, Jenq Kuen Lee	Integrating Compiler and System Toolkit Flow for Embedded VLIW DSP Processors.	RTCSA	2006	DBLP DOI BibTeX RDF
33	Muhammad Alam, Michael Hafner, Ruth Breu	A constraint based role based access control in the SECTET a model-driven approach.	PST	2006	DBLP DOI BibTeX RDF	service oriented architectures, role based access control, model-driven architecture, model-driven security
33	Mariya Koshkina, Franck van Breugel	Modelling and verifying web service orchestration by means of the concurrency workbench.	ACM SIGSOFT Softw. Eng. Notes	2004	DBLP DOI BibTeX RDF	concurrency workbench of the new century, process algebra compiler, web service, modelling, verification, business process, BPEL4WS
33	Roni Khardon, Rocco A. Servedio	Maximum Margin Algorithms with Boolean Kernels.	COLT	2003	DBLP DOI BibTeX RDF
33	Nader H. Bshouty, Lynn Burroughs	On the Proper Learning of Axis Parallel Concepts.	COLT	2002	DBLP DOI BibTeX RDF
33	Jeffrey C. Jackson, Christino Tamon, Tomoyuki Yamakami	Quantum DNF Learnability Revisited.	COCOON	2002	DBLP DOI BibTeX RDF
33	Paolo Ciaccia, Marco Patella	Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces.	DEXA Workshops	1999	DBLP DOI BibTeX RDF	approximate similarity queries, distance distribution, metric spaces, dimensionality curse
33	Thomas R. Hancock, Tao Jiang 0001, Ming Li 0001, John Tromp	Lower Bounds on Learning Decision Lists and Trees (Extended Abstract).	STACS	1995	DBLP DOI BibTeX RDF
33	Krishnan Pillaipakkamnatt, Vijay Raghavan 0002	On the Limits of Proper Learnability of Subclasses of DNF Formulas.	COLT	1994	DBLP DOI BibTeX RDF
33	Spyros A. Reveliotis, Theologos Bountourelis	Efficient PAC Learning for Episodic Tasks with Acyclic State Spaces.	Discret. Event Dyn. Syst.	2007	DBLP DOI BibTeX RDF	Efficient probably approximately correct (PAC) algorithms, Ranking & selection, Machine learning, Markov decision processes, Computational learning theory, Uncertainty management
33	Thore Graepel, Ralf Herbrich, John Shawe-Taylor	PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	sample compression, PAC-Bayes, kernel classifiers, classification, error bounds
33	Aditi Dhagat, Lisa Hellerstein	PAC Learning with Irrelevant Attributes	FOCS	1994	DBLP DOI BibTeX RDF	polynomial-time Occam algorithm, irrelevant attributes, Occam algorithm, decision lists, greedy set cover, polynomial-time, PAC learning
33	Javed A. Aslam, Scott E. Decatur	General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Bounding	FOCS	1993	DBLP DOI BibTeX RDF	statistical query learning, hypothesis boosting, complexity, noise, PAC learning, general bounds
33	David Haussler	Generalizing the PAC Model: Sample Size Bounds From Metric Dimension-based Uniform Convergence Results	FOCS	1989	DBLP DOI BibTeX RDF	hypothesis error, distribution specific uniform convergence, metric dimension-based uniform convergence results, probably approximately correct, learning functions, independent draws, unknown probability, bounded real-valued loss function, average loss, empirical error estimates, true error rates, real-valued functions, bounded metric space, distribution-independent uniform convergence result, set, learnability, feedforward neural nets, VC dimension, learning from examples, PAC model
29	Ryan J. Meuth	Meta-learning genetic programming.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	even parity, pac-man, genetic programming, memetic algorithms, meta-learning, late breaking abstract
29	Nicolas Gourier, Julien Letessier, Jérôme Maisonnasse, Stanislaw Borkowski	Un kiosque interactif pour Espaces publics.	IHM	2009	DBLP DOI BibTeX RDF	detection, multi-touch, interactive surface, PAC model
29	Vitaly Feldman	Evolvability from learning algorithms.	STOC	2008	DBLP DOI BibTeX RDF	evolvability, pac learning, statistical query
29	Guofei Jiang, George Cybenko	Functional Validation in Grid Computing.	Auton. Agents Multi Agent Syst.	2004	DBLP DOI BibTeX RDF	keywords and ontology, grid computing, PAC learning, service matching, functional validation
29	Arindam Banerjee 0001, John Langford 0001	An objective evaluation criterion for clustering.	KDD	2004	DBLP DOI BibTeX RDF	PAC bounds, clustering, evaluation, MDL
29	Adam R. Klivans, Amir Shpilka	Learning Arithmetic Circuits via Partial Derivatives.	COLT	2003	DBLP DOI BibTeX RDF	learning with queries, PAC learning