Elamur Research⌕
☰
home / venues / ICML / 2006 / papers / page 2

ICML 2006: all accepted papers

141 papers · page 2 of 2 · the most cited first · ← ICML 2006

1 2

  1. Regression with the optimised combination technique ↗Jochen Garcke33 citations
  2. Learning high-order MRF priors of color images ↗Julian McAuley, Tibério S. Caetano, Alex J. Smola et al.29 citations
  3. Simpler knowledge-based support vector machines ↗Quoc Viet Le, Alex J. Smola, Thomas Gärtner29 citations
  4. An investigation of computational and informational limits in Gaussian mixture clustering ↗Nathan Srebro, Gregory Shakhnarovich, Sam T. Roweis28 citations
  5. Efficient MAP approximation for dense energy functions ↗Marius Leordeanu, Martial Hebert26 citations
  6. Permutation invariant SVMs ↗Pannagadatta K. Shivaswamy, Tony Jebara24 citations
  7. Online decoding of Markov models under latency constraints ↗Mukund Narasimhan, Paul A. Viola, Michael Shilman23 citations
  8. A new approach to data driven clustering ↗Arik Azran, Zoubin Ghahramani22 citations
  9. A statistical approach to rule learning ↗Ulrich Rückert, Stefan Krämer22 citations
  10. Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems ↗David Wingate, Satinder Pal Singh21 citations
  11. Efficient inference on sequence segmentation models ↗Sunita Sarawagi20 citations
  12. Locally adaptive classification piloted by uncertainty ↗Juan Dai, Shuicheng Yan, Xiaoou Tang et al.18 citations
  13. Relational temporal difference learning ↗Nima Asgharbeygi, David John Stracuzzi, Pat Langley18 citations
  14. Learning algorithms for online principal-agent problems (and selling goods online) ↗Vincent Conitzer, Nikesh Garera17 citations
  15. A graphical model for predicting protein molecular function ↗Barbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner16 citations
  16. Combining discriminative features to infer complex trajectories ↗David A. Ross, Simon Osindero, Richard S. Zemel16 citations
  17. Learning to impersonate ↗Moni Naor, Guy N. Rothblum15 citations
  18. Using query-specific variance estimates to combine Bayesian classifiers ↗Chi-Hoon Lee, Russell Greiner, Shaojun Wang15 citations
  19. Block-quantized kernel matrix for fast spectral embedding ↗Kai Zhang, James Tin-Yau Kwok14 citations
  20. Kernel information embeddings ↗Roland Memisevic14 citations
  21. Predictive state representations with options ↗Britton Wolfe, Satinder Pal Singh14 citations
  22. An analysis of graph cut size for transductive learning ↗Steve Hanneke13 citations
  23. Bayesian regression with input noise for high dimensional data ↗Jo-Anne Ting, Aaron D’Souza, Stefan Schaal13 citations
  24. Classifying EEG for brain-computer interfaces ↗Le Song, Julien Epps12 citations
  25. Cost-sensitive learning with conditional Markov networks ↗Prithviraj Sen, Lise C. Getoor12 citations
  26. CN = CPCN ↗Liva Ralaivola, François Denis, Christophe N. Magnan11 citations
  27. Predictive linear-Gaussian models of controlled stochastic dynamical systems ↗Matthew R. Rudary, Satinder Pal Singh11 citations
  28. Sequential update of ADtrees ↗Josep Roure, Andrew Moore11 citations
  29. Active sampling for detecting irrelevant features ↗Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani10 citations
  30. Efficient learning of Naive Bayes classifiers under class-conditional classification noise ↗François Denis, Christophe Nicolas Magnan, Liva Ralaivola10 citations
  31. Hidden process models ↗Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi10 citations
  32. Qualitative reinforcement learning ↗Arkady Epshteyn, GERALD F. DEJONG9 citations
  33. Categorization in multiple category systems ↗Jean-Michel Renders, Éric Gaussier, Cyril Goutte et al.8 citations
  34. Predictive search distributions ↗Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov et al.8 citations
  35. Region-based value iteration for partially observable Markov decision processes ↗Hui Li, Xuejun Liao, Lawrence Carin8 citations
  36. Fast transpose methods for kernel learning on sparse data ↗Patrick Haffner7 citations
  37. Pareto optimal linear classification ↗Seung-Jean Kim, Alessandro Magnani, Sikandar Samar et al.7 citations
  38. Bayesian learning of measurement and structural models ↗Ricardo Silva, Richard Scheines6 citations
  39. A note on mixtures of experts for multiclass responses ↗Yang Ge, Wenxin Jiang3 citations
  40. A probabilistic model for text kernels ↗Alain Lehmann, John S. Shawe-Taylor2 citations
  41. MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models ↗Carl Edward Rasmussen, Dilan Görür

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/papers/page/2/