Conferences in DBLP
Esma Aïmeur , Gilles Brassard , Sébastien Gambs Quantum clustering algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Alekh Agarwal , Soumen Chakrabarti Learning random walks to rank nodes in graphs. [Citation Graph (0, 0)][DBLP ] Conf ] Yonatan Amit , Michael Fink 0002 , Nathan Srebro , Shimon Ullman Uncovering shared structures in multiclass classification. [Citation Graph (0, 0)][DBLP ] Conf ] Rie Kubota Ando , Tong Zhang Two-view feature generation model for semi-supervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Galen Andrew , Jianfeng Gao Scalable training of L1 -regularized log-linear models. [Citation Graph (0, 0)][DBLP ] Conf ] S. Asharaf , M. Narasimha Murty , S. K. Shevade Multiclass core vector machine. [Citation Graph (0, 0)][DBLP ] Conf ] Arik Azran The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks. [Citation Graph (0, 0)][DBLP ] Conf ] Rashmin Babaria , J. Saketha Nath , S. Krishnan , K. R. Sivaramakrishnan , Chiranjib Bhattacharyya , M. Narasimha Murty Focused crawling with scalable ordinal regression solvers. [Citation Graph (0, 0)][DBLP ] Conf ] Aharon Bar-Hillel , Daphna Weinshall Learning distance function by coding similarity. [Citation Graph (0, 0)][DBLP ] Conf ] Sourangshu Bhattacharya , Chiranjib Bhattacharyya , Nagasuma Chandra Structural alignment based kernels for protein structure classification. [Citation Graph (0, 0)][DBLP ] Conf ] Steffen Bickel , Michael Brückner , Tobias Scheffer Discriminative learning for differing training and test distributions. [Citation Graph (0, 0)][DBLP ] Conf ] Antoine Bordes , Léon Bottou , Patrick Gallinari , Jason Weston Solving multiclass support vector machines with LaRank. [Citation Graph (0, 0)][DBLP ] Conf ] Brent Bryan , H. Brendan McMahan , Chad M. Schafer , Jeff G. Schneider Efficiently computing minimax expected-size confidence regions. [Citation Graph (0, 0)][DBLP ] Conf ] Razvan C. Bunescu , Raymond J. Mooney Multiple instance learning for sparse positive bags. [Citation Graph (0, 0)][DBLP ] Conf ] Ludwig M. Busse , Peter Orbanz , Joachim M. Buhmann Cluster analysis of heterogeneous rank data. [Citation Graph (0, 0)][DBLP ] Conf ] Bin Cao , Dou Shen , Jian-Tao Sun , Qiang Yang , Zheng Chen Feature selection in a kernel space. [Citation Graph (0, 0)][DBLP ] Conf ] Zhe Cao , Tao Qin , Tie-Yan Liu , Ming-Feng Tsai , Hang Li Learning to rank: from pairwise approach to listwise approach. [Citation Graph (0, 0)][DBLP ] Conf ] Luca Cazzanti , Maya R. Gupta Local similarity discriminant analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Antoni B. Chan , Nuno Vasconcelos , Gert R. G. Lanckriet Direct convex relaxations of sparse SVM. [Citation Graph (0, 0)][DBLP ] Conf ] Xue-wen Chen , Jong Cheol Jeong Minimum reference set based feature selection for small sample classifications. [Citation Graph (0, 0)][DBLP ] Conf ] Li Cheng , S. V. N. Vishwanathan Learning to compress images and videos. [Citation Graph (0, 0)][DBLP ] Conf ] Corinna Cortes , Mehryar Mohri , Ashish Rastogi Magnitude-preserving ranking algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Alexandre d'Aspremont , Francis R. Bach , Laurent El Ghaoui Full regularization path for sparse principal component analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Guang Dai , Dit-Yan Yeung Kernel selection forl semi-supervised kernel machines. [Citation Graph (0, 0)][DBLP ] Conf ] Wenyuan Dai , Qiang Yang , Gui-Rong Xue , Yong Yu Boosting for transfer learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ian Davidson , S. S. Ravi Intractability and clustering with constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Jason V. Davis , Brian Kulis , Prateek Jain , Suvrit Sra , Inderjit S. Dhillon Information-theoretic metric learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jesse Davis , Vítor Santos Costa , Soumya Ray , David Page An integrated approach to feature invention and model construction for drug activity prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Erick Delage , Shie Mannor Percentile optimization in uncertain Markov decision processes with application to efficient exploration. [Citation Graph (0, 0)][DBLP ] Conf ] Laura Dietz , Steffen Bickel , Tobias Scheffer Unsupervised prediction of citation influences. [Citation Graph (0, 0)][DBLP ] Conf ] Piotr Dollar , Vincent Rabaud , Serge J. Belongie Non-isometric manifold learning: analysis and an algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Dudík , David M. Blei , Robert E. Schapire Hierarchical maximum entropy density estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Roberto Esposito , Daniele P. Radicioni CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Amir Massoud Farahmand , Csaba Szepesvári , Jean-Yves Audibert Manifold-adaptive dimension estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Sylvain Gelly , David Silver Combining online and offline knowledge in UCT. [Citation Graph (0, 0)][DBLP ] Conf ] Samuel Gerber , Tolga Tasdizen , Ross T. Whitaker Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Geurts , Louis Wehenkel , Florence d'Alché-Buc Gradient boosting for kernelized output spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Mohammad Ghavamzadeh , Yaakov Engel Bayesian actor-critic algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Amir Globerson , Terry Koo , Xavier Carreras , Michael Collins Exponentiated gradient algorithms for log-linear structured prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Nizar Grira , Michael E. Houle Best of both: a hybridized centroid-medoid clustering heuristic. [Citation Graph (0, 0)][DBLP ] Conf ] Fan Guo , Steve Hanneke , Wenjie Fu , Eric P. Xing Recovering temporally rewiring networks: a model-based approach. [Citation Graph (0, 0)][DBLP ] Conf ] Rahul Gupta , Ajit A. Diwan , Sunita Sarawagi Efficient inference with cardinality-based clique potentials. [Citation Graph (0, 0)][DBLP ] Conf ] Romain Hérault , Yves Grandvalet Sparse probabilistic classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Haider , Ulf Brefeld , Tobias Scheffer Supervised clustering of streaming data for email batch detection. [Citation Graph (0, 0)][DBLP ] Conf ] Steve Hanneke A bound on the label complexity of agnostic active learning. [Citation Graph (0, 0)][DBLP ] Conf ] Steven C. H. Hoi , Rong Jin , Michael R. Lyu Learning nonparametric kernel matrices from pairwise constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Manfred Jaeger Parameter learning for relational Bayesian networks. [Citation Graph (0, 0)][DBLP ] Conf ] Shihao Ji , Lawrence Carin Bayesian compressive sensing and projection optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey Johns , Sridhar Mahadevan Constructing basis functions from directed graphs for value function approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Kristian Kersting , Christian Plagemann , Patrick Pfaff , Wolfram Burgard Most likely heteroscedastic Gaussian process regression. [Citation Graph (0, 0)][DBLP ] Conf ] Kye-Hyeon Kim , Seungjin Choi Neighbor search with global geometry: a minimax message passing algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Minyoung Kim , Vladimir Pavlovic A recursive method for discriminative mixture learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sergey Kirshner , Padhraic Smyth Infinite mixtures of trees. [Citation Graph (0, 0)][DBLP ] Conf ] Arto Klami , Samuel Kaski Local dependent components. [Citation Graph (0, 0)][DBLP ] Conf ] Stanley Kok , Pedro Domingos Statistical predicate invention. [Citation Graph (0, 0)][DBLP ] Conf ] Nicole Krämer , Mikio L. Braun Kernelizing PLS, degrees of freedom, and efficient model selection. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Krause , Carlos Guestrin Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach. [Citation Graph (0, 0)][DBLP ] Conf ] Dmitry Kropotov , Dmitry Vetrov On one method of non-diagonal regularization in sparse Bayesian learning. [Citation Graph (0, 0)][DBLP ] Conf ] Dima Kuzmin , Manfred K. Warmuth Online kernel PCA with entropic matrix updates. [Citation Graph (0, 0)][DBLP ] Conf ] Hugo Larochelle , Dumitru Erhan , Aaron C. Courville , James Bergstra , Yoshua Bengio An empirical evaluation of deep architectures on problems with many factors of variation. [Citation Graph (0, 0)][DBLP ] Conf ] Neil D. Lawrence , Andrew J. Moore Hierarchical Gaussian process latent variable models. [Citation Graph (0, 0)][DBLP ] Conf ] Su-In Lee , Vassil Chatalbashev , David Vickrey , Daphne Koller Learning a meta-level prior for feature relevance from multiple related tasks. [Citation Graph (0, 0)][DBLP ] Conf ] Jure Leskovec , Christos Faloutsos Scalable modeling of real graphs using Kronecker multiplication. [Citation Graph (0, 0)][DBLP ] Conf ] Bin Li , Mingmin Chi , Jianping Fan , Xiangyang Xue Support cluster machine. [Citation Graph (0, 0)][DBLP ] Conf ] Fuxin Li , Jian Yang , Jue Wang A transductive framework of distance metric learning by spectral dimensionality reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Chris H. Q. Ding , Tao Li Adaptive dimension reduction using discriminant analysis and K -means clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Wenye Li , Kin-Hong Lee , Kwong-Sak Leung Large-scale RLSC learning without agony. [Citation Graph (0, 0)][DBLP ] Conf ] Xin Li , William Kwok-Wai Cheung , Jiming Liu , Zhili Wu A novel orthogonal NMF-based belief compression for POMDPs. [Citation Graph (0, 0)][DBLP ] Conf ] Percy Liang , Michael I. Jordan , Benjamin Taskar A permutation-augmented sampler for DP mixture models. [Citation Graph (0, 0)][DBLP ] Conf ] Xuejun Liao , Hui Li , Lawrence Carin Quadratically gated mixture of experts for incomplete data classification. [Citation Graph (0, 0)][DBLP ] Conf ] Chih-Jen Lin , Ruby C. Weng , S. Sathiya Keerthi Trust region Newton methods for large-scale logistic regression. [Citation Graph (0, 0)][DBLP ] Conf ] Bo Long , Zhongfei (Mark) Zhang , Xiaoyun Wu , Philip S. Yu Relational clustering by symmetric convex coding. [Citation Graph (0, 0)][DBLP ] Conf ] Yong Ma , Shihong Lao , Erina Takikawa , Masato Kawade Discriminant analysis in correlation similarity measure space. [Citation Graph (0, 0)][DBLP ] Conf ] Sridhar Mahadevan Adaptive mesh compression in 3D computer graphics using multiscale manifold learning. [Citation Graph (0, 0)][DBLP ] Conf ] Gideon S. Mann , Andrew McCallum Simple, robust, scalable semi-supervised learning via expectation regularization. [Citation Graph (0, 0)][DBLP ] Conf ] Bhaskara Marthi Automatic shaping and decomposition of reward functions. [Citation Graph (0, 0)][DBLP ] Conf ] Hamed Masnadi-Shirazi , Nuno Vasconcelos Asymmetric boosting. [Citation Graph (0, 0)][DBLP ] Conf ] Graham McNeill , Sethu Vijayakumar Linear and nonlinear generative probabilistic class models for shape contours. [Citation Graph (0, 0)][DBLP ] Conf ] Lilyana Mihalkova , Raymond J. Mooney Bottom-up learning of Markov logic network structure. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Mimno , Wei Li , Andrew McCallum Mixtures of hierarchical topics with Pachinko allocation. [Citation Graph (0, 0)][DBLP ] Conf ] Andriy Mnih , Geoffrey E. Hinton Three new graphical models for statistical language modelling. [Citation Graph (0, 0)][DBLP ] Conf ] Alessandro Moschitti , Fabio Massimo Zanzotto Fast and effective kernels for relational learning from texts. [Citation Graph (0, 0)][DBLP ] Conf ] Sofia Mosci , Lorenzo Rosasco , Alessandro Verri Dimensionality reduction and generalization. [Citation Graph (0, 0)][DBLP ] Conf ] Markos Mylonakis , Khalil Sima'an , Rebecca Hwa Unsupervised estimation for noisy-channel models. [Citation Graph (0, 0)][DBLP ] Conf ] Blaine Nelson , Ira Cohen Revisiting probabilistic models for clustering with pair-wise constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Nam Nguyen , Yunsong Guo Comparisons of sequence labeling algorithms and extensions. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Ni , Lawrence Carin , David Dunson Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. [Citation Graph (0, 0)][DBLP ] Conf ] Jens Nilsson , Fei Sha , Michael I. Jordan Regression on manifolds using kernel dimension reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Sarah Osentoski , Sridhar Mahadevan Learning state-action basis functions for hierarchical MDPs. [Citation Graph (0, 0)][DBLP ] Conf ] A. P. Yogananda , M. Narasimha Murty , Lakshmi Gopal A fast linear separability test by projection of positive points on subspaces. [Citation Graph (0, 0)][DBLP ] Conf ] Sandeep Pandey , Deepayan Chakrabarti , Deepak Agarwal Multi-armed bandit problems with dependent arms. [Citation Graph (0, 0)][DBLP ] Conf ] Charles Parker , Alan Fern , Prasad Tadepalli Learning for efficient retrieval of structured data with noisy queries. [Citation Graph (0, 0)][DBLP ] Conf ] Ronald Parr , Christopher Painter-Wakefield , Lihong Li , Michael L. Littman Analyzing feature generation for value-function approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Jan Peters , Stefan Schaal Reinforcement learning by reward-weighted regression for operational space control. [Citation Graph (0, 0)][DBLP ] Conf ] Chee Wee Phua , Robert Fitch Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation. [Citation Graph (0, 0)][DBLP ] Conf ] Rajat Raina , Alexis Battle , Honglak Lee , Benjamin Packer , Andrew Y. Ng Self-taught learning: transfer learning from unlabeled data. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander Rakhlin , Jacob Abernethy , Peter L. Bartlett Online discovery of similarity mappings. [Citation Graph (0, 0)][DBLP ] Conf ] Alain Rakotomamonjy , Francis Bach , Stéphane Canu , Yves Grandvalet More efficiency in multiple kernel learning. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew J. Rattigan , Marc Maier , David Jensen Graph clustering with network structure indices. [Citation Graph (0, 0)][DBLP ] Conf ] Ruslan Salakhutdinov , Andriy Mnih , Geoffrey E. Hinton Restricted Boltzmann machines for collaborative filtering. [Citation Graph (0, 0)][DBLP ] Conf ] Mohak Shah Sample compression bounds for decision trees. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Shalev-Shwartz , Yoram Singer , Nathan Srebro Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. [Citation Graph (0, 0)][DBLP ] Conf ] Le Song , Alexander J. Smola , Arthur Gretton , Karsten M. Borgwardt A dependence maximization view of clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Le Song , Alex J. Smola , Arthur Gretton , Karsten M. Borgwardt , Justin Bedo Supervised feature selection via dependence estimation. [Citation Graph (0, 0)][DBLP ] Conf ] Bharath K. Sriperumbudur , David A. Torres , Gert R. G. Lanckriet Sparse eigen methods by D.C. programming. [Citation Graph (0, 0)][DBLP ] Conf ] David Stern , Ralf Herbrich , Thore Graepel Learning to solve game trees. [Citation Graph (0, 0)][DBLP ] Conf ] Jianyong Sun , Ata Kabán , Somak Raychaudhury Robust mixtures in the presence of measurement errors. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaohai Sun , Dominik Janzing , Bernhard Schölkopf , Kenji Fukumizu A kernel-based causal learning algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Charles A. Sutton , Andrew McCallum Piecewise pseudolikelihood for efficient training of conditional random fields. [Citation Graph (0, 0)][DBLP ] Conf ] Richard S. Sutton , Anna Koop , David Silver On the role of tracking in stationary environments. [Citation Graph (0, 0)][DBLP ] Conf ] Matthew E. Taylor , Peter Stone Cross-domain transfer for reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ivan Titov , James Henderson Incremental Bayesian networks for structure prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Ryota Tomioka , Kazuyuki Aihara Classifying matrices with a spectral regularization. [Citation Graph (0, 0)][DBLP ] Conf ] Petroula Tsampouka , John Shawe-Taylor Approximate maximum margin algorithms with rules controlled by the number of mistakes. [Citation Graph (0, 0)][DBLP ] Conf ] Ivor W. Tsang , András Kocsor , James T. Kwok Simpler core vector machines with enclosing balls. [Citation Graph (0, 0)][DBLP ] Conf ] Koji Tsuda Entire regularization paths for graph data. [Citation Graph (0, 0)][DBLP ] Conf ] Raquel Urtasun , Trevor Darrell Discriminative Gaussian process latent variable model for classification. [Citation Graph (0, 0)][DBLP ] Conf ] Jason Van Hulse , Taghi M. Khoshgoftaar , Amri Napolitano Experimental perspectives on learning from imbalanced data. [Citation Graph (0, 0)][DBLP ] Conf ] Gabriel Wachman , Roni Khardon Learning from interpretations: a rooted kernel for ordered hypergraphs. [Citation Graph (0, 0)][DBLP ] Conf ] Gang Wang , Dit-Yan Yeung , Frederick H. Lochovsky A kernel path algorithm for support vector machines. [Citation Graph (0, 0)][DBLP ] Conf ] Hua-Yan Wang , Hongbin Zha , Hong Qin Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data. [Citation Graph (0, 0)][DBLP ] Conf ] Huan Wang , Shuicheng Yan , Thomas S. Huang , Jianzhuang Liu , Xiaoou Tang Transductive regression piloted by inter-manifold relations. [Citation Graph (0, 0)][DBLP ] Conf ] Jack M. Wang , David J. Fleet , Aaron Hertzmann Multifactor Gaussian process models for style-content separation. [Citation Graph (0, 0)][DBLP ] Conf ] Li Wang , Ji Zhu , Hui Zou Hybrid huberized support vector machines for microarray classification. [Citation Graph (0, 0)][DBLP ] Conf ] Liwei Wang , Cheng Yang , Jufu Feng On learning with dissimilarity functions. [Citation Graph (0, 0)][DBLP ] Conf ] Manfred K. Warmuth Winnowing subspaces. [Citation Graph (0, 0)][DBLP ] Conf ] Tomás Werner What is decreased by the max-sum arc consistency algorithm? [Citation Graph (0, 0)][DBLP ] Conf ] Aaron Wilson , Alan Fern , Soumya Ray , Prasad Tadepalli Multi-task reinforcement learning: a hierarchical Bayesian approach. [Citation Graph (0, 0)][DBLP ] Conf ] David P. Wipf , Srikantan Nagarajan Beamforming using the relevance vector machine. [Citation Graph (0, 0)][DBLP ] Conf ] Adam Woznica , Alexandros Kalousis , Melanie Hilario Learning to combine distances for complex representations. [Citation Graph (0, 0)][DBLP ] Conf ] Mingrui Wu , Kai Yu , Shipeng Yu , Bernhard Schölkopf Local learning projections. [Citation Graph (0, 0)][DBLP ] Conf ] Yuehua Xu , Alan Fern On learning linear ranking functions for beam search. [Citation Graph (0, 0)][DBLP ] Conf ] Xiang Xuan , Kevin Murphy Modeling changing dependency structure in multivariate time series. [Citation Graph (0, 0)][DBLP ] Conf ] Ya Xue , David Dunson , Lawrence Carin The matrix stick-breaking process for flexible multi-task learning. [Citation Graph (0, 0)][DBLP ] Conf ] Takehisa Yairi Map building without localization by dimensionality reduction techniques. [Citation Graph (0, 0)][DBLP ] Conf ] Keisuke Yamazaki , Motoaki Kawanabe , Sumio Watanabe , Masashi Sugiyama , Klaus-Robert Müller Asymptotic Bayesian generalization error when training and test distributions are different. [Citation Graph (0, 0)][DBLP ] Conf ] Jieping Ye Least squares linear discriminant analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Jieping Ye , Jianhui Chen , Shuiwang Ji Discriminant kernel and regularization parameter learning via semidefinite programming. [Citation Graph (0, 0)][DBLP ] Conf ] Shipeng Yu , Volker Tresp , Kai Yu Robust multi-task learning with t -processes. [Citation Graph (0, 0)][DBLP ] Conf ] Jian Zhang , Rong Yan On the value of pairwise constraints in classification and consistency. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Zhang , Ivor W. Tsang , James T. Kwok Maximum margin clustering made practical. [Citation Graph (0, 0)][DBLP ] Conf ] Kun Zhang , Laiwan Chan Nonlinear independent component analysis with minimal nonlinear distortion. [Citation Graph (0, 0)][DBLP ] Conf ] Wei Zhang , Xiangyang Xue , Zichen Sun , Yue-Fei Guo , Hong Lu Optimal dimensionality of metric space for classification. [Citation Graph (0, 0)][DBLP ] Conf ] Xinhua Zhang , Douglas Aberdeen , S. V. N. Vishwanathan Conditional random fields for multi-agent reinforcement learning. [Citation Graph (0, 0)][DBLP ] Conf ] Zheng Zhao , Huan Liu Spectral feature selection for supervised and unsupervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Dengyong Zhou , Christopher J. C. Burges Spectral clustering and transductive learning with multiple views. [Citation Graph (0, 0)][DBLP ] Conf ] Zhi-Hua Zhou , Jun-Ming Xu On the relation between multi-instance learning and semi-supervised learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jun Zhu , Zaiqing Nie , Bo Zhang , Ji-Rong Wen Dynamic hierarchical Markov random fields and their application to web data extraction. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander Zien , Ulf Brefeld , Tobias Scheffer Transductive support vector machines for structured variables. [Citation Graph (0, 0)][DBLP ] Conf ] Alexander Zien , Cheng Soon Ong Multiclass multiple kernel learning. [Citation Graph (0, 0)][DBLP ] Conf ] 