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Viewing Publication 1 - 100 from 844

2022

Experiments in Cross-domain Few-shot Learning for Image Classification: Extended AbstractHongyu Wang 0008, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes 0001. ecml 2022: 81-83 [doi]

Challenges of Acquiring Compositional Inductive Biases via Meta-LearningMarie Anastacio, Théo Matricon, Holger H. Hoos. ecml 2022: 11-23 [doi]

Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge TransferPavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr. ecml 2022: 1-7 [doi]

ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, FrancePavel Brazdil, Jan N. van Rijn, Henry Gouk, Felix Mohr, editors, Volume 191 of Proceedings of Machine Learning Research, PMLR, 2022. [doi]

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline resultsDustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang 0019, Wenwu Zhu 0001. ecml 2022: 24-37 [doi]

Searching in the Forest for Local Bayesian OptimizationDifan Deng, Marius Lindauer. ecml 2022: 38-50 [doi]

Faster Performance Estimation for NAS with Embedding Proximity ScoreGideon Franken, Prabhant Singh, Joaquin Vanschoren. ecml 2022: 51-61 [doi]

Interpretable Meta-Score for Model Performance: Extended AbstractAlicja Gosiewska, Katarzyna Woznica, Przemyslaw Biecek. ecml 2022: 75-77 [doi]

On Usefulness of Outlier Elimination in Classification Tasks: Extended AbstractDusan Hetlerovic, Lubos Popelínský, Pavel Bradi, Carlos Soares, Fernando Freitas. ecml 2022: 78-80 [doi]

Some advances regarding ontologies and neuro-symbolic artificial intelligencePascal Hitzler. ecml 2022: 8-10 [doi]

Trust Region Meta Learning for Policy OptimizationManuel Occorso, Luca Sabbioni, Alberto Maria Metelli, Marcello Restelli. ecml 2022: 62-74 [doi]

2014

Proceedings of the Neural Connectomics Workshop at ECML 2014, Porto, Portugal, September 7, 2015Volume 46 of JMLR Workshop and Conference Proceedings, JMLR.org, 2014. [doi]

Effcient combination of pairwise feature networksPau Bellot, Patrick E. Meyer 0001. ecml 2014: 75-82 [doi]

Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological FeaturesWojciech M. Czarnecki, Rafal Józefowicz. ecml 2014: 65-74 [doi]

Supervised Neural Network Structure RecoveryIldefons Magrans de Abril, Ann Nowé. ecml 2014: 35-41 [doi]

SuperSlicing Frame Restoration for Anisotropic ssTEM and Video DataDmitry Laptev, Joachim M. Buhmann. ecml 2014: 91-101 [doi]

Predicting Spiking Activities in DLS Neurons with Linear-Nonlinear-Poisson ModelSisi Ma, David J. Barker. ecml 2014: 83-90 [doi]

First Connectomics Challenge: From Imaging to ConnectivityJavier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano. ecml 2014: 1-22 [doi]

Signal Correlation Prediction Using Convolutional Neural NetworksLukasz Romaszko. ecml 2014: 43-54 [doi]

Simple Connectome Inference from Partial Correlation Statistics in Calcium ImagingAntonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts. ecml 2014: 23-34 [doi]

Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and RegularizationChenyang Tao, Wei Lin, Jianfeng Feng. ecml 2014: 55-64 [doi]

2008

Mining Complex Data, ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected PapersZbigniew W. Ras, Shusaku Tsumoto, Djamel A. Zighed, editors, Volume 4944 of Lecture Notes in Computer Science, 2008.

2007

Learning Metrics Between Tree Structured Data: Application to Image RecognitionLaurent Boyer 0002, Amaury Habrard, Marc Sebban. ecml 2007: 54-66 [doi]

Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern ExtractionHidenao Abe, Satoru Hirabayashi, Miho Ohsaki, Takahira Yamaguchi. ecml 2008: 72-81 [doi]

Statistical Debugging Using Latent Topic ModelsDavid Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu. ecml 2007: 6-17 [doi]

Seeing the Forest Through the Trees: Learning a Comprehensible Model from an EnsembleAnneleen Van Assche, Hendrik Blockeel. ecml 2007: 418-429 [doi]

Comparing Rule Measures for Predictive Association RulesPaulo J. Azevedo, Alípio Mário Jorge. ecml 2007: 510-517 [doi]

Improving Boosting by Exploiting Former AssumptionsEmna Bahri, Nicolas Nicoloyannis, Mondher Maddouri. ecml 2008: 131-142 [doi]

Finding Composite EpisodesRonnie Bathoorn, Arno Siebes. ecml 2008: 157-168 [doi]

Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character RecognitionSabri Bayoudh, Harold Mouchère, Laurent Miclet, Éric Anquetil. ecml 2007: 527-534 [doi]

Neighborhood-Based Local SensitivityPaul N. Bennett. ecml 2007: 30-41 [doi]

Shrinkage Estimator for Bayesian Network ParametersJohn Burge, Terran Lane. ecml 2007: 67-78 [doi]

Weighted Kernel Regression for Predicting Changing DependenciesSteven Busuttil, Yuri Kalnishkan. ecml 2007: 535-542 [doi]

Counter-Example Generation-Based One-Class ClassificationAndrás Bánhalmi, András Kocsor, Róbert Busa-Fekete. ecml 2007: 543-550 [doi]

Level Learning Set: A Novel Classifier Based on Active Contour ModelsXiongcai Cai, Arcot Sowmya. ecml 2007: 79-90 [doi]

Learning Partially Observable Markov Models from First Passage TimesJérôme Callut, Pierre Dupont. ecml 2007: 91-103 [doi]

Test-Cost Sensitive Classification Based on Conditioned Loss FunctionsMumin Cebe, Cigdem Gunduz Demir. ecml 2007: 551-558 [doi]

Contextual Adaptive Clustering of Web and Text Documents with PersonalizationKrzysztof Ciesielski, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon. ecml 2008: 116-130 [doi]

Context Sensitive Paraphrasing with a Global Unsupervised ClassifierMichael Connor, Dan Roth. ecml 2007: 104-115 [doi]

Ordinal Classification with Decision RulesKrzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski. ecml 2008: 169-181 [doi]

Dual Strategy Active LearningPinar Donmez, Jaime G. Carbonell, Paul N. Bennett. ecml 2007: 116-127 [doi]

Decision Tree Instability and Active LearningKenneth Dwyer, Robert Holte. ecml 2007: 128-139 [doi]

Conceptual Clustering Applied to OntologiesFloriana Esposito, Nicola Fanizzi, Claudia d Amato. ecml 2008: 42-56 [doi]

Generalization-Based Similarity for Conceptual ClusteringStefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito. ecml 2008: 13-26 [doi]

Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-SearchDaan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel. ecml 2007: 567-574 [doi]

A Simple Lexicographic Ranker and Probability EstimatorPeter A. Flach, Edson Takashi Matsubara. ecml 2007: 575-582 [doi]

Using Text Mining and Link Analysis for Software MiningMiha Grcar, Marko Grobelnik, Dunja Mladenic. ecml 2008: 1-12 [doi]

Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised ClusteringDerek Greene, Padraig Cunningham. ecml 2007: 140-151 [doi]

The Cost of Learning Directed CutsThomas Gärtner, Gemma C. Garriga. ecml 2007: 152-163 [doi]

Trajectory Analysis of Laboratory Tests as Medical Complex Data MiningShoji Hirano, Shusaku Tsumoto. ecml 2008: 27-41 [doi]

On Phase Transitions in Learning Sparse NetworksGoele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls. ecml 2007: 591-599 [doi]

On Minimizing the Position Error in Label RankingEyke Hüllermeier, Johannes Fürnkranz. ecml 2007: 583-590 [doi]

Spectral Clustering and Embedding with Hidden Markov ModelsTony Jebara, Yingbo Song, Kapil Thadani. ecml 2007: 164-175 [doi]

Semi-supervised Collaborative Text ClassificationRong Jin, Ming Wu, Rahul Sukthankar. ecml 2007: 600-607 [doi]

Learning from Relevant Tasks OnlySamuel Kaski, Jaakko Peltonen. ecml 2007: 608-615 [doi]

Probabilistic Explanation Based LearningAngelika Kimmig, Luc De Raedt, Hannu Toivonen. ecml 2007: 176-187 [doi]

An Unsupervised Learning Algorithm for Rank AggregationAlexandre Klementiev, Dan Roth, Kevin Small. ecml 2007: 616-623 [doi]

Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, ProceedingsJoost N. Kok, Jacek Koronacki, Ramon López de Mántaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron, editors, Volume 4701 of Lecture Notes in Computer Science, Springer, 2007.

Graph-Based Domain Mapping for Transfer Learning in General GamesGregory Kuhlmann, Peter Stone. ecml 2007: 188-200 [doi]

Kernel-Based Grouping of Histogram DataTilman Lange, Joachim M. Buhmann. ecml 2007: 632-639 [doi]

Structure Learning of Probabilistic Relational Models from Incomplete Relational DataXiao-Lin Li, Zhi-Hua Zhou. ecml 2007: 214-225 [doi]

Active Class SelectionR. Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl. ecml 2007: 640-647 [doi]

Sequence Labeling with Reinforcement Learning and Ranking AlgorithmsFrancis Maes, Ludovic Denoyer, Patrick Gallinari. ecml 2007: 648-657 [doi]

Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCADimitrios Mavroeidis, Michalis Vazirgiannis. ecml 2007: 226-237 [doi]

POM Centric Multi-aspect Data Analysis for Investigating Human Problem Solving FunctionShinichi Motomura, Akinori Hara, Ning Zhong, Shengfu Lu. ecml 2008: 252-264 [doi]

Efficient Continuous-Time Reinforcement Learning with Adaptive State GraphsGerhard Neumann, Michael Pfeiffer, Wolfgang Maass. ecml 2007: 250-261 [doi]

Bayesian Substructure Learning - Approximate Learning of Very Large Network StructuresAndreas Nägele, Mathäus Dejori, Martin Stetter. ecml 2007: 238-249 [doi]

Efficient Pairwise ClassificationSang-Hyeun Park, Johannes Fürnkranz. ecml 2007: 658-665 [doi]

Scale-Space Based Weak Regressors for BoostingJin Hyeong Park, Chandan K. Reddy. ecml 2007: 666-673 [doi]

::::K:::: -Means with Large and Noisy Constraint SetsDan Pelleg, Dorit Baras. ecml 2007: 674-682 [doi]

Feature Selection: Near Set ApproachJames F. Peters, Sheela Ramanna. ecml 2008: 57-71 [doi]

Towards Interactive Active Learning in Multi-view Feature Sets for Information ExtractionKatharina Probst, Rayid Ghani. ecml 2007: 683-690 [doi]

Principal Component Analysis for Large Scale Problems with Lots of Missing ValuesTapani Raiko, Alexander Ilin, Juha Karhunen. ecml 2007: 691-698 [doi]

Transfer Learning in Reinforcement Learning Problems Through Partial Policy RecyclingJan Ramon, Kurt Driessens, Tom Croonenborghs. ecml 2007: 699-707 [doi]

Class Noise Mitigation Through Instance WeightingUmaa Rebbapragada, Carla E. Brodley. ecml 2007: 708-715 [doi]

Discriminative Sequence Labeling by Z-Score OptimizationElisa Ricci, Tijl De Bie, Nello Cristianini. ecml 2007: 274-285 [doi]

Optimizing Feature Sets for Structured DataUlrich Rückert, Stefan Kramer. ecml 2007: 716-723 [doi]

Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New ApproachesMark Schmidt, Glenn Fung, Rómer Rosales. ecml 2007: 286-297 [doi]

Bayesian Inference for Sparse Generalized Linear ModelsMatthias Seeger, Sebastian Gerwinn, Matthias Bethge. ecml 2007: 298-309 [doi]

Roulette Sampling for Cost-Sensitive LearningVictor S. Sheng, Charles X. Ling. ecml 2007: 724-731 [doi]

Modeling Highway Traffic VolumesTomás Singliar, Milos Hauskrecht. ecml 2007: 732-739 [doi]

Additive Groves of Regression TreesDaria Sorokina, Rich Caruana, Mirek Riedewald. ecml 2007: 323-334 [doi]

Efficient Computation of Recursive Principal Component Analysis for Structured InputAlessandro Sperduti. ecml 2007: 335-346 [doi]

Hinge Rank Loss and the Area Under the ROC CurveHarald Steck. ecml 2007: 347-358 [doi]

On Pairwise Naive Bayes ClassifiersJan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier. ecml 2007: 371-381 [doi]

Undercomplete Blind Subspace Deconvolution Via Linear PredictionZoltán Szabó, Barnabás Póczos, András Lörincz. ecml 2007: 740-747 [doi]

Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov ModelsRikiya Takahashi. ecml 2007: 382-393 [doi]

Safe Q-Learning on Complete History SpacesStephan Timmer, Martin Riedmiller. ecml 2007: 394-405 [doi]

Learning an Outlier-Robust Kalman FilterJo-Anne Ting, Evangelos Theodorou, Stefan Schaal. ecml 2007: 748-756 [doi]

Random ::::k:::: -Labelsets: An Ensemble Method for Multilabel ClassificationGrigorios Tsoumakas, Ioannis P. Vlahavas. ecml 2007: 406-417 [doi]

Imitation Learning Using Graphical ModelsDeepak Verma, Rajesh P. N. Rao. ecml 2007: 757-764 [doi]

Avoiding Boosting Overfitting by Removing Confusing SamplesAlexander Vezhnevets, Olga Barinova. ecml 2007: 430-441 [doi]

Planning and Learning in Environments with Delayed FeedbackThomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman. ecml 2007: 442-453 [doi]

Quality of Musical Instrument Sound Identification for Various Levels of Accompanying SoundsAlicja Wieczorkowska, Elzbieta Kolczynska. ecml 2008: 93-103 [doi]

Policy Gradient CriticsDaan Wierstra, Jürgen Schmidhuber. ecml 2007: 466-477 [doi]

Nondeterministic Discretization of Weights Improves Accuracy of Neural NetworksMarcin Wojnarski. ecml 2007: 765-772 [doi]

An Improved Model Selection Heuristic for AUCShaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez. ecml 2007: 478-489 [doi]

Discovery of Frequent Graph Patterns that Consist of the Vertices with the Complex StructuresTsubasa Yamamoto, Tomonobu Ozaki, Takenao Ohkawa. ecml 2008: 143-156 [doi]

Multi-objective Genetic Programming for Multiple Instance LearningAmelia Zafra, Sebastián Ventura. ecml 2007: 790-797 [doi]

Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule LearningMonika Záková, Filip Zelezný. ecml 2007: 798-805 [doi]

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