The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear Problems (English)
Free access
- New search for: Edelkamp, Stefan
- New search for: Stommel, Martin
- New search for: Edelkamp, Stefan
- New search for: Stommel, Martin
In:
Machine Learning and Knowledge Discovery in Databases
4
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175-190
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2012
- Article/Chapter (Book) / Electronic Resource
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Title:The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear Problems
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Contributors:Edelkamp, Stefan ( author ) / Stommel, Martin ( author )
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Published in:Machine Learning and Knowledge Discovery in Databases , 4 ; 175-190Lecture Notes in Computer Science ; 7523, 4 ; 175-190
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Publisher:
- New search for: Springer Berlin Heidelberg
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Place of publication:Berlin, Heidelberg
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Publication date:2012-01-01
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Size:16 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Machine Learning for RoboticsAbbeel, Pieter et al. | 2012
- 2
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Declarative Modeling for Machine Learning and Data MiningRaedt, Luc et al. | 2012
- 4
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Machine Learning Methods for Music Discovery and RecommendationEck, Douglas et al. | 2012
- 5
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Solving Problems with Visual Analytics: Challenges and ApplicationsKeim, Daniel et al. | 2012
- 7
-
Analyzing Text and Social Network Data with Probabilistic ModelsSmyth, Padhraic et al. | 2012
- 9
-
Discovering Descriptive Tile TreesTatti, Nikolaj / Vreeken, Jilles et al. | 2012
- 25
-
Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance GuaranteesRiondato, Matteo / Upfal, Eli et al. | 2012
- 42
-
Smoothing Categorical DataSiebes, Arno / Kersten, René et al. | 2012
- 58
-
An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure LearningGasse, Maxime / Aussem, Alex / Elghazel, Haytham et al. | 2012
- 74
-
Bayesian Network Classifiers with Reduced Precision ParametersTschiatschek, Sebastian / Reinprecht, Peter / Mücke, Manfred / Pernkopf, Franz et al. | 2012
- 90
-
Combining Subjective Probabilities and Data in Training Markov Logic NetworksPápai, Tivadar / Ghosh, Shalini / Kautz, Henry et al. | 2012
- 106
-
Score-Based Bayesian Skill LearningGuo, Shengbo / Sanner, Scott / Graepel, Thore / Buntine, Wray et al. | 2012
- 122
-
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple ClassesDogan, Ürün / Glasmachers, Tobias / Igel, Christian et al. | 2012
- 130
-
Extension of the Rocchio Classification Method to Multi-modal Categorization of Documents in Social MediaMantrach, Amin / Renders, Jean-Michel et al. | 2012
- 143
-
Label-Noise Robust Logistic Regression and Its ApplicationsBootkrajang, Jakramate / Kabán, Ata et al. | 2012
- 159
-
Sentiment Classification with Supervised Sequence EmbeddingBespalov, Dmitriy / Qi, Yanjun / Bai, Bing / Shokoufandeh, Ali et al. | 2012
- 175
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The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-linear ProblemsEdelkamp, Stefan / Stommel, Martin et al. | 2012
- 191
-
Embedding Monte Carlo Search of Features in Tree-Based Ensemble MethodsMaes, Francis / Geurts, Pierre / Wehenkel, Louis et al. | 2012
- 207
-
Hypergraph Spectra for Semi-supervised Feature SelectionZhang, Zhihong / Hancock, Edwin R. / Bai, Xiao et al. | 2012
- 223
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Learning Neighborhoods for Metric LearningWang, Jun / Woznica, Adam / Kalousis, Alexandros et al. | 2012
- 237
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Massively Parallel Feature Selection: An Approach Based on Variance PreservationZhao, Zheng / Cox, James / Duling, David / Sarle, Warren et al. | 2012
- 253
-
PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware DevicesMavroeidis, Dimitrios / Batina, Lejla / Laarhoven, Twan / Marchiori, Elena et al. | 2012
- 269
-
Classifying Stem Cell Differentiation Images by Information DistanceZhang, Xianglilan / Wang, Hongnan / Collins, Tony J. / Luo, Zhigang / Li, Ming et al. | 2012
- 283
-
Distance Metric Learning RevisitedCao, Qiong / Ying, Yiming / Li, Peng et al. | 2012
- 299
-
Geodesic Analysis on the Gaussian RKHS HypersphereCourty, Nicolas / Burger, Thomas / Marteau, Pierre-François et al. | 2012
- 314
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Boosting Nearest Neighbors for the Efficient Estimation of PosteriorsD’Ambrosio, Roberto / Nock, Richard / Ali, Wafa Bel Haj / Nielsen, Frank / Barlaud, Michel et al. | 2012
- 330
-
Diversity Regularized Ensemble PruningLi, Nan / Yu, Yang / Zhou, Zhi-Hua et al. | 2012
- 346
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Ensembles on Random PatchesLouppe, Gilles / Geurts, Pierre et al. | 2012
- 362
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An Efficiently Computable Support Measure for Frequent Subgraph Pattern MiningWang, Yuyi / Ramon, Jan et al. | 2012
- 378
-
Efficient Graph Kernels by RandomizationNeumann, Marion / Patricia, Novi / Garnett, Roman / Kersting, Kristian et al. | 2012
- 394
-
Graph Mining for Object Tracking in VideosDiot, Fabien / Fromont, Elisa / Jeudy, Baptiste / Marilly, Emmanuel / Martinot, Olivier et al. | 2012
- 410
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Hypergraph Learning with Hyperedge ExpansionPu, Li / Faltings, Boi et al. | 2012
- 426
-
Nearly Exact Mining of Frequent Trees in Large NetworksKibriya, Ashraf M. / Ramon, Jan et al. | 2012
- 442
-
Reachability Analysis and Modeling of Dynamic Event NetworksMacropol, Kathy / Singh, Ambuj et al. | 2012
- 458
-
CC-MR – Finding Connected Components in Huge Graphs with MapReduceSeidl, Thomas / Boden, Brigitte / Fries, Sergej et al. | 2012
- 474
-
Fast Near Neighbor Search in High-Dimensional Binary DataShrivastava, Anshumali / Li, Ping et al. | 2012
- 490
-
Fully Sparse Topic ModelsThan, Khoat / Ho, Tu Bao et al. | 2012
- 506
-
Learning Compact Class Codes for Fast Inference in Large Multi Class ClassificationCissé, M. / Artières, T. / Gallinari, Patrick et al. | 2012
- 521
-
ParCube: Sparse Parallelizable Tensor DecompositionsPapalexakis, Evangelos E. / Faloutsos, Christos / Sidiropoulos, Nicholas D. et al. | 2012
- 537
-
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth LossesTao, Qing / Kong, Kang / Chu, Dejun / Wu, Gaowei et al. | 2012
- 553
-
Sublinear Algorithms for Penalized Logistic Regression in Massive DatasetsPeng, Haoruo / Wang, Zhengyu / Chang, Edward Y. / Zhou, Shuchang / Zhang, Zhihua et al. | 2012
- 569
-
Author Name Disambiguation Using a New Categorical Distribution SimilarityLi, Shaohua / Cong, Gao / Miao, Chunyan et al. | 2012
- 585
-
Lifted Online Training of Relational Models with Stochastic Gradient MethodsAhmadi, Babak / Kersting, Kristian / Natarajan, Sriraam et al. | 2012
- 601
-
Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual InformationJiang, Xueyan / Tresp, Volker / Huang, Yi / Nickel, Maximilian / Kriegel, Hans-Peter et al. | 2012
- 617
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Relational Differential PredictionNassif, Houssam / Santos Costa, Vítor / Burnside, Elizabeth S. / Page, David et al. | 2012
- 633
-
Efficient Training of Graph-Regularized Multitask SVMsWidmer, Christian / Kloft, Marius / Görnitz, Nico / Rätsch, Gunnar et al. | 2012
- 648
-
Geometry Preserving Multi-task Metric LearningYang, Peipei / Huang, Kaizhu / Liu, Cheng-Lin et al. | 2012
- 665
-
Learning and Inference in Probabilistic Classifier Chains with Beam SearchKumar, Abhishek / Vembu, Shankar / Menon, Aditya Krishna / Elkan, Charles et al. | 2012
- 681
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Learning Multiple Tasks with Boosted Decision TreesFaddoul, Jean Baptiste / Chidlovskii, Boris / Gilleron, Rémi / Torre, Fabien et al. | 2012
- 697
-
Multi-Task Boosting by Exploiting Task RelationshipsZhang, Yu / Yeung, Dit-Yan et al. | 2012
- 711
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Sparse Gaussian Processes for Multi-task LearningWang, Yuyang / Khardon, Roni et al. | 2012
- 728
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Collective Information Extraction with Context-Specific ConsistenciesKluegl, Peter / Toepfer, Martin / Lemmerich, Florian / Hotho, Andreas / Puppe, Frank et al. | 2012
- 744
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Supervised Learning of Semantic RelatednessEl-Yaniv, Ran / Yanay, David et al. | 2012
- 760
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Unsupervised Bayesian Part of Speech Inference with Particle GibbsDubbin, Gregory / Blunsom, Phil et al. | 2012
- 774
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WikiSent: Weakly Supervised Sentiment Analysis through Extractive Summarization with WikipediaMukherjee, Subhabrata / Bhattacharyya, Pushpak et al. | 2012
- 794
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Adaptive Two-View Online Learning for Math Topic ClassificationNguyen, Tam T. / Chang, Kuiyu / Hui, Siu Cheung et al. | 2012
- 810
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BDUOL: Double Updating Online Learning on a Fixed BudgetZhao, Peilin / Hoi, Steven C. H. et al. | 2012
- 827
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Handling Time Changing Data with Adaptive Very Fast Decision RulesKosina, Petr / Gama, João et al. | 2012
- 843
-
Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data StreamsKutzkov, Konstantin et al. | 2012
- 859
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Mirror Descent for Metric Learning: A Unified ApproachKunapuli, Gautam / Shavlik, Jude et al. | 2012