Search results for "machine learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
5	Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga	Diagnosis of sport injuries with machine learning: explanation of induced decisions.	CBMS	1997	DBLP DOI BibTeX RDF	sport injury diagnosis, induced decisions, machine learning algorithms, diagnostic knowledge, machine learning, knowledge extraction, medical databases, medical expert systems, machine learning techniques
4	Halina Kwasnicka, Mariusz Paradowski	Machine Learning Methods in Automatic Image Annotation.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF	Decision Trees, Automatic Image Annotation
4	Boris Kryzhanovsky, Vladimir Kryzhanovsky, Leonid B. Litinskii	Machine Learning in Vector Models of Neural Networks.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
4	Tomasz Maszczyk, Marek Grochowski, Wlodzislaw Duch	Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF	constructive neural networks, machine learning, visualization, Meta-learning, projection pursuit
4	Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq	Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets.	EvoBIO	2009	DBLP DOI BibTeX RDF	Biomedical Datasets, Machine Learning, Classification
4	Oleg Seredin, Andrey Kopylov, Vadim Mottl	Selection of Subsets of Ordered Features in Machine Learning.	MLDM	2009	DBLP DOI BibTeX RDF	ordered features, regularization of training, parametric dynamic programming, machine learning, support vector machines, feature selection
4	Thomas G. Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli	Structured machine learning: the next ten years.	Machine Learning	2008	DBLP DOI BibTeX RDF	Structured machine learning, Inductive logic programming, Relational learning, Statistical relational learning
4	Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro	Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction.	Machine Learning in Document Analysis and Recognition	2008	DBLP DOI BibTeX RDF
4	Sargur N. Srihari, Harish Srinivasan, Siyuan Chen, Matthew J. Beal	Machine Learning for Signature Verification.	Machine Learning in Document Analysis and Recognition	2008	DBLP DOI BibTeX RDF
4	Donato Malerba, Michelangelo Ceci, Margherita Berardi	Machine Learning for Reading Order Detection in Document Image Understanding.	Machine Learning in Document Analysis and Recognition	2008	DBLP DOI BibTeX RDF
4	Bram Vanschoenwinkel, Bernard Manderick	Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data.	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
4	Michael E. Tipping	Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.	Advanced Lectures on Machine Learning	2003	DBLP DOI BibTeX RDF
4	Christopher J. C. Burges	Some Notes on Applied Mathematics for Machine Learning.	Advanced Lectures on Machine Learning	2003	DBLP DOI BibTeX RDF
4	Yves Kodratoff	Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Themis Panayiotopoulos, Nick Z. Zacharis	Machine Learning and Intelligent Agents.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Maarten van Someren	Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar	Function Decomposition in Machine Learning.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Ivan Bruha	Pre- and Post-processing in Machine Learning and Data Mining.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Christos Papatheodorou	Machine Learning in User Modeling.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	George D. Magoulas, Andriana Prentza	Machine Learning in Medical Applications.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Grigoris J. Karakoulas, Giovanni Semeraro	Machine Learning for Intelligent Information Access.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
4	Lorenza Saitta	Integrated Architectures for Machine Learning.	Machine Learning and Its Applications	2001	DBLP DOI BibTeX RDF
3	J. D. Tygar	Adversarial Machine Learning.	IEEE Internet Computing	2011	DBLP DOI BibTeX RDF	adversarial machine learning, spam email, machine learning, intrusion detection, computer security
3		Genetics-Based Machine Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	Johannes Fürnkranz	Machine Learning and Game Playing.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	Philip K. Chan	Machine Learning for IT Security.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	Katharina Morik	Medicine: Applications of Machine Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	Lorenza Saitta, Michèle Sebag	Phase Transitions in Machine Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	John Case, Sanjay Jain	Connections Between Inductive Inference and Machine Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	Claudia Perlich	Learning Curves in Machine Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
3	Krzysztof J. Cios, Lukasz A. Kurgan	Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
3	Ivan Bratko	Comparison of Machine Learning for Autonomous Robot Discovery.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
3	Janusz Wojtusiak, Kenneth A. Kaufman	Ryszard S. Michalski: The Vision and Evolution of Machine Learning.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
3	Aboul Ella Hassanien, Hameed Al-Qaheri, Václav Snásel, James F. Peters	Machine Learning Techniques for Prostate Ultrasound Image Diagnosis.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
3	Simone Pellegrini, Thomas Fahringer, Herbert Jordan, Hans Moritsch	Automatic tuning of MPI runtime parameter settings by using machine learning.	Conf. Computing Frontiers	2010	DBLP DOI BibTeX RDF	mpi runtime parameters, machine learning, tuning
3	Dan Pelleg, Eran Raichstein, Amir Ronen	Using machine learning techniques to enhance the performance of an automatic backup and recovery system.	SYSTOR	2010	DBLP DOI BibTeX RDF	file and storage systems, readahead, machine learning, prefetching, systems
3	Kayur Patel	Lowering the barrier to applying machine learning.	CHI Extended Abstracts	2010	DBLP DOI BibTeX RDF	machine learning
3	Marenglen Biba, Stefano Ferilli, Floriana Esposito	Towards Multistrategic Statistical Relational Learning.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
3	Luc De Raedt	About Knowledge and Inference in Logical and Relational Learning.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
3	Katharina Morik, Michael Wurst	Clustering the Web 2.0.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
3	Derek H. Sleeman, Andy Aiken, Laura Moss, John Kinsella, Malcolm Sim	A System to Detect Inconsistencies between a Domain Expert's Different Perspectives on (Classification) Tasks.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
3	Michal Draminski, Marcin Kierczak, Jacek Koronacki, Henryk Jan Komorowski	Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
3	Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit	Induction in Multi-Label Text Classification Domains.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF	Classifier induction, multi-label examples, text classification, information fusion, Dempster-Shafer theory
3	Yousheng Tian, Yingxu Wang, Kai Hu	A Knowledge Representation Tool for Autonomous Machine Learning Based on Concept Algebra.	Transactions on Computational Science	2009	DBLP DOI BibTeX RDF	denotational mathematics, concept algebra, OAR, LRMB, machine learning, visualization, knowledge representation, case studies, intelligent systems, computational intelligence, Cognitive informatics, support tool, cognitive computing
3	Xavier Llorà, Anusha Priya, Rohit Bhargava	Observer-invariant histopathology using genetics-based machine learning.	Natural Computing	2009	DBLP DOI BibTeX RDF	Observer-invariant histopathology, Vector instruction, MPI, Learning Classifier Systems, Hardware acceleration, Massive parallelism, Genetics-based machine learning, SSE2
3	Dymitr Ruta, Bogdan Gabrys	A framework for machine learning based on dynamic physical fields.	Natural Computing	2009	DBLP DOI BibTeX RDF	Data condensation, Gravity field, Lennard-Jones potential, Clustering, Machine learning, Classification, Visualisation, Classifier fusion, Electrostatic field
3	Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera	A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.	Soft Comput.	2009	DBLP DOI BibTeX RDF	Non-parametric tests, Cohen’s kappa, Genetic algorithms, Classification, Interpretability, Statistical tests, Genetics-based machine learning
3	Joaquin Vanschoren, Hendrik Blockeel	A Community-Based Platform for Machine Learning Experimentation.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
3	Shai Ben-David	Theory-Practice Interplay in Machine Learning - Emerging Theoretical Challenges.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
3	Jaume Bacardit, Xavier Llorà	Large scale data mining using genetics-based machine learning.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	parallel computing, evolutionary algorithms, data-intensive computing, genetics-based machine learning, efficiency enhancement, large-scale datasets
3	Georgios Tournavitis, Zheng Wang, Björn Franke, Michael F. P. O'Boyle	Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping.	PLDI	2009	DBLP DOI BibTeX RDF	auto-parallelization, machine-learning based parallelism mapping, profile-driven parallelism detection, openmp
3	Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Grigori Fursin, Michael F. P. O'Boyle	Portable compiler optimisation across embedded programs and microarchitectures using machine learning.	MICRO	2009	DBLP DOI BibTeX RDF	architecture/compiler co-design, machine learning, design-space exploration
3	Durga L. Shrestha, Nagendra Kayastha, Dimitri P. Solomatine	ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty.	ICANN	2009	DBLP DOI BibTeX RDF	clustering, artificial neural networks, machine learning techniques, modelling uncertainty
3	Taiwo Ayodele, Shikun Zhou, Rinat Khusainov	Email Reply Prediction: A Machine Learning Approach.	HCI	2009	DBLP DOI BibTeX RDF	Email reply prediction, email messages, interrogative words, need reply, do not need reply, email headers, machine learning, unsupervised learning
3	Hong Hu, Zhongzhi Shi	Machine Learning in Granular Computing.	RSKT	2009	DBLP DOI BibTeX RDF	topological machine learning, SVM kind learning, granular computing
3	Francesco Gagliardi	The Necessity of Machine Learning and Epistemology in the Development of Categorization Theories: A Case Study in Prototype-Exemplar Debate.	AI*IA	2009	DBLP DOI BibTeX RDF	Categorization Theories, Bias-Variance Dilemma, Machine Learning, Instance-Based Learning, Epistemology, Cognitive Psychology
3	Jung Hun Oh, Rawan Al-Lozi, Issam El-Naqa	Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients.	ICMLA	2009	DBLP DOI BibTeX RDF	radiation pneumonitis (RP), machine learning, classification, lung cancer
3	Darío Maravall, Javier de Lope Asiaín	ANLAGIS: Adaptive Neuron-Like Network Based on Learning Automata Theory and Granular Inference Systems with Applications to Pattern Recognition and Machine Learning.	IWINAC	2009	DBLP DOI BibTeX RDF	Learning Automata Theory, Machine Learning, Pattern Recognition, Artificial Neural Networks, Granular Computing
3	Masashi Sugiyama	Density Ratio Estimation: A New Versatile Tool for Machine Learning.	ACML	2009	DBLP DOI BibTeX RDF
3	Thomas G. Dietterich	Machine Learning and Ecosystem Informatics: Challenges and Opportunities.	ACML	2009	DBLP DOI BibTeX RDF
3	Ricardo Cerri, Renato R. O. da Silva, André Carlos Ponce Leon Ferreira de Carvalho	Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques.	BSB	2009	DBLP DOI BibTeX RDF	Machine Learning, Classification, Bioinformatics, Proteins, Multilabel
3	José Chilo, György Horvath, Thomas Lindblad, Roland Olsson	Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms.	ICDM	2009	DBLP DOI BibTeX RDF	Machine learning algorithms, odor classification, ovarian carcinoma, medicine
3	Liang Sun, Shuiwang Ji, Jieping Ye	A least squares formulation for a class of generalized eigenvalue problems in machine learning.	ICML	2009	DBLP DOI BibTeX RDF
3	Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney S. Tan	EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers.	CHI	2009	DBLP DOI BibTeX RDF	caltech-101, interactive machine learning, visualization, object recognition, ensemble classifiers
3	Dan Morris, Jimmy Secretan	Computational creativity support: using algorithms and machine learning to help people be more creative.	CHI Extended Abstracts	2009	DBLP DOI BibTeX RDF	machine learning, algorithms, creativity, arts
3	Chengzhi Zhang	Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents.	ADMA	2009	DBLP DOI BibTeX RDF	text mining, ensemble Learning, extraction, statistical machine learning
3	Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo Garcia Bringas	Optimising Machine-Learning-Based Fault Prediction in Foundry Production.	IWANN	2009	DBLP DOI BibTeX RDF	data mining, Machine learning, fault prediction
3	Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson	Machine learning approach to report prioritization with an application to travel time dissemination.	GIS-IWCTS	2009	DBLP DOI BibTeX RDF	data prioritization, traffic information systems, machine learning, VANET, data dissemination
3	Pavel Laskov, Marius Kloft	A framework for quantitative security analysis of machine learning.	AISec	2009	DBLP DOI BibTeX RDF	adversarial learning, centroid anomaly detection, machine learning, intrusion detection, computer security
3	Faraz Ahmed, Haider Hameed, M. Zubair Shafiq, Muddassar Farooq	Using spatio-temporal information in API calls with machine learning algorithms for malware detection.	AISec	2009	DBLP DOI BibTeX RDF	api calls, machine learning algorithms, markov chain, malware detection
3	Zheng Wang, Michael F. P. O'Boyle	Mapping parallelism to multi-cores: a machine learning based approach.	PPOPP	2009	DBLP DOI BibTeX RDF	machine learning, support vector machine, artificial neural networks, performance modeling, compiler optimization
3	Daniel Christopher Powell, Björn Franke	Using continuous statistical machine learning to enable high-speed performance prediction in hybrid instruction-/cycle-accurate instruction set simulators.	CODES+ISSS	2009	DBLP DOI BibTeX RDF	continuous statistical machine learning, performance prediction, instruction set simulator
3	Murat Can Ganiz, Nikita I. Lytkin, William M. Pottenger	Leveraging Higher Order Dependencies between Features for Text Classification.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	higher order learning, higher order naive bayes, higher order support vector machine, machine learning, text classification, statistical relational learning
3	Miha Grcar, Dunja Mladenic	Visual OntoBridge: Semi-automatic Semantic Annotation Software.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	Visual OntoBridge, ontologies, machine learning, text mining, annotation, graphs, PageRank
3	Miha Grcar, Dunja Mladenic, Peter Kese	Semi-automatic Categorization of Videos on VideoLectures.net.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	multi-modal data mining, VideoLectures.net, machine learning, classification, multimedia, video, categorization
3	Johannes Schmitt, Matthias Hollick, Christoph Roos, Ralf Steinmetz	Adapting the User Context in Realtime: Tailoring Online Machine Learning Algorithms to Ambient Computing.	MONET	2008	DBLP DOI BibTeX RDF	machine learning, pervasive computing, context-aware computing, ambient computing
3	Xunkai Wei, Yinghong Li, Yufei Li, Dong-Fang Zhang	Enclosing machine learning: concepts and algorithms.	Neural Computing and Applications	2008	DBLP DOI BibTeX RDF	Enclosing machine learning, Minimum volume enclosing shapes, Minimum volume enclosing ellipsoid, Cognitive class description, Cognitive class recognizing, Cognitive process
3	Leo Galway, Darryl Charles, Michaela M. Black	Machine learning in digital games: a survey.	Artif. Intell. Rev.	2008	DBLP DOI BibTeX RDF	Machine learning, Computational intelligence, Digital games, Game AI
3	Keita Imada, Katsuhiko Nakamura	Towards Machine Learning of Grammars and Compilers of Programming Languages.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
3	Jaume Bacardit, Natalio Krasnogor	Fast rule representation for continuous attributes in genetics-based machine learning.	GECCO	2008	DBLP DOI BibTeX RDF	fast rule representation, large datasets, genetics-based machine learning
3	Leonardo G. Tavares, Heitor Silvério Lopes, Carlos R. Erig Lima	A Comparative Study of Machine Learning Methods for Detecting Promoters in Bacterial DNA Sequences.	ICIC	2008	DBLP DOI BibTeX RDF	Machine Learning, Bioinformatics, DNA, Data classification
3	Robert C. Daniels, Ketan Mandke, Steven W. Peters, Scott Nettles, Robert W. Heath Jr.	Machine learning for physical layer link adaptation in multiple-antenna wireless networks.	WINTECH	2008	DBLP DOI BibTeX RDF	wireless prototyping, machine learning, cross-layer design, ieee 802.11n, adaptive modulation and coding
3	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner	Imputation-boosted collaborative filtering using machine learning classifiers.	SAC	2008	DBLP DOI BibTeX RDF	imputation techniques, machine learning classifiers, recommendation systems, collaborative filtering, incomplete data
3	Martti Juhola, Heikki Aalto, Timo Hirvonen	Machine Learning Recognition of Otoneurological Patients by Means of the Results of Vestibulo-Ocular Signal Analysis.	CBMS	2008	DBLP DOI BibTeX RDF	otoneurology, vestibulo-ocular reflex, vertigo, machine learning, classification, signal analysis
3	Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce Leon Ferreira de Carvalho, Ronaldo C. Prati	Potential Distribution Modelling Using Machine Learning.	IEA/AIE	2008	DBLP DOI BibTeX RDF	Ecological niche modelling, Potential distribution modelling, Machine Learning
3	Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-Sup Kim, James W. Hong	Empirical Analysis of Application-Level Traffic Classification Using Supervised Machine Learning.	APNOMS	2008	DBLP DOI BibTeX RDF	Internet application traffic identification, traffic measurement and analysis, supervised algorithm, machine learning
3	Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang	Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques.	ICMLA	2008	DBLP DOI BibTeX RDF
3	Shiva K. Das, Shifeng Chen, Joseph O. Deasy, Sumin Zhou, Fang-Fang Yin, Lawrence B. Marks	Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis.	ICMLA	2008	DBLP DOI BibTeX RDF
3	Robson Eisinger, Roseli A. F. Romero, Rudinei Goularte	Machine Learning Techniques Applied to Dynamic Video Adapting.	ICMLA	2008	DBLP DOI BibTeX RDF
3	Bram J. J. van der Vlist, Rick van de Westelaken, Christoph Bartneck, Jun Hu, René M. C. Ahn, Emilia I. Barakova, Frank Delbressine, Loe M. G. Feijs	Teaching Machine Learning to Design Students.	Edutainment	2008	DBLP DOI BibTeX RDF	machine learning, design, teaching, lego
3	Yan Luo, Jeffrey J. P. Tsai	A Framework for Extrusion Detection Using Machine Learning.	ISORC	2008	DBLP DOI BibTeX RDF	extrusion detection, machine learning, intrusion detection
3	Minh Nhat Quang Truong, Trong Nghia Hoang	A Multi-agent Mechanism in Machine Learning Approach to Anti-virus System.	KES-AMSTA	2008	DBLP DOI BibTeX RDF	Machine Learning, Multi-agent, Computer virus, Anti-virus
3	Thomas Lingner, Peter Meinicke	Fast Target Set Reduction for Large-Scale Protein Function Prediction: A Multi-class Multi-label Machine Learning Approach.	WABI	2008	DBLP DOI BibTeX RDF	Pfam, target set reduction, machine learning, large-scale, protein classification, multi-class, metagenomics, homology search, protein function prediction, multi-label
3	Zhenwei Yu, Jeffrey J. P. Tsai	A Framework of Machine Learning Based Intrusion Detection for Wireless Sensor Networks.	SUTC	2008	DBLP DOI BibTeX RDF	wireless sensor networks, machine learning, intrusion detection
3	Salvatore Casale, Alessandra Russo, G. Scebba, Salvatore Serrano	Speech Emotion Classification Using Machine Learning Algorithms.	ICSC	2008	DBLP DOI BibTeX RDF	emo-db, susas, ETSI ES 202-211 standard, machine learning, speech analysis, emotion classification
3	Lionel C. Briand	Novel Applications of Machine Learning in Software Testing.	QSIC	2008	DBLP DOI BibTeX RDF	Machine learning, software testing
3	Lionel C. Briand, Yvan Labiche, Zaheer Bawar	Using Machine Learning to Refine Black-Box Test Specifications and Test Suites.	QSIC	2008	DBLP DOI BibTeX RDF	category partition, machine learning, black-box testing
3	Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison	Investigating statistical machine learning as a tool for software development.	CHI	2008	DBLP DOI BibTeX RDF	software development, statistical machine learning
3	Giuseppe Amato, Pasquale Savino, Vanessa Magionami	Use of weighted visual terms and machine learning techniques for image content recognition relying on mpeg-7 visual descriptors.	MS	2008	DBLP DOI BibTeX RDF	image content classification, machine learning
3	Josep Lluis Berral, Nicolás Poggi, Javier Alonso, Ricard Gavaldà, Jordi Torres, Manish Parashar	Adaptive distributed mechanism against flooding network attacks based on machine learning.	AISec	2008	DBLP DOI BibTeX RDF	DDOS, machine learning, intrusion detection, cooperative, autonomic computing, flooding attacks