20070622 abduction acii-2007 active-learning agnostic-learning algebra algorithmic-distance-metrics algorithmics algorithm-portfolio anomaly-detection anytime-induction autoencoders bayesian-learning bioinformatics boosting cbir classic-refs clustering coding-theory compressed-sensing computer-science computer-vision co-training data-mining-books data-mining-general datasets dimension-reduction dirichlet discretization distance-metrics dr-for-classification education embedded-fs emotion-models emotion-recognition ensemble-diversity ensembles error-estimation extreme-value fda feature-extraction featureless feature-selection fractal free-lunch game-theory general-bayesian-learning generalization geometry gmms graphs high-dimensionality high-performance-computing hmm ica image-processing imbalanced immune-systems incremental-learning inter-feature-predictivity intrinsic-dimension-estimation kernel-machines lazy-learning learnability learning-bounds learning-on-graphs learning-stability locality loss-functions lpp margin maths mdl mdr mds medical-imaging meta-learning ml-foundations ml-philosophy ml-review ml-software model-selection multiclass multi-instance multimedia-ir natural-optimization nearest-neighbors negative-example-selection negative-features neural-networks novels numerical-computing oca occ-applications occ-comparison occ-dimension-reduction occ-for-multiclass occ-high-dimensional occ-nearest-neighbor occ-neural-networks occ-others occ-parameter-fitting occ-reconstruction occ-statistical occ-support-vector occ-survey occ-to-multiclass occ-to-supervised occ-vs-supervised occ-with-outliers optimization partially-labeled-data pca pca-computation phase-transition population-based programming proportional-data pso publish-or-perish randomness ranking reductions roc sat scalability scale-sensitive scientific-software seminal semi-supervised sets-of-features simplicity software-engineering speaker-verification spectral statistics structured-domains text-classification time-series uniform-convergence unobserved-features unsupervised-dr-for-classification