Papers
4,122 papers found
Optimally Fuzzy Temporal Memory
Karthik H. Shankar, Marc W. Howard
Orange: Data Mining Toolbox in Python
Janez Demšar, Tomaž Curk, Aleš Erjavec et al.
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models
Aapo Hyvärinen, Stephen M. Smith
Parallel Vector Field Embedding
Binbin Lin, Xiaofei He, Chiyuan Zhang et al.
PC Algorithm for Nonparanormal Graphical Models
Naftali Harris, Mathias Drton
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
Manfred Opper, Ulrich Paquet, Ole Winther
QuantMiner for Mining Quantitative Association Rules
Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet et al.
Quasi-Newton Method: A New Direction
Philipp Hennig, Martin Kiefel
Query Induction with Schema-Guided Pruning Strategies
Joachim Niehren, Jérôme Champavère, Aurélien Lemay et al.
Random Spanning Trees and the Prediction of Weighted Graphs
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale et al.
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs
Matthew J. Urry, Peter Sollich
Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
Ranking Forests
Stéphan Clémençon, Marine Depecker, Nicolas Vayatis
Regularization-Free Principal Curve Estimation
Samuel Gerber, Ross Whitaker
Segregating Event Streams and Noise with a Markov Renewal Process Model
Dan Stowell, Mark D. Plumbley
Semi-Supervised Learning Using Greedy Max-Cut
Jun Wang, Tony Jebara, Shih-Fu Chang
Similarity-based Clustering by Left-Stochastic Matrix Factorization
Raman Arora, Maya R. Gupta, Amol Kapila et al.
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom, Günther Palm
Sparse Matrix Inversion with Scaled Lasso
Tingni Sun, Cun-Hui Zhang
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory
Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
Sparse Single-Index Model
Pierre Alquier, Gérard Biau
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
Sébastien Gerchinovitz
Stationary-Sparse Causality Network Learning
Yuejia He, Yiyuan She, Dapeng Wu
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang