Papers
172,654 papers found
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains
Katsu Yamane and Yoshihiko Nakamura
Bayes-Adaptive POMDPs
Stephane Ross, Brahim Chaib-draa, Joelle Pineau
Bayesian Agglomerative Clustering with Coalescents
Yee W. Teh, Hal Daume III, Daniel M. Roy
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
Dominik Endres, Mike Oram, Johannes Schindelin et al.
Bayesian Co-Training
Shipeng Yu, Balaji Krishnapuram, Harald Steck et al.
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke et al.
Bayesian Policy Learning with Trans-Dimensional MCMC
Matthew Hoffman, Arnaud Doucet, Nando D. Freitas et al.
Bayesian Quadratic Discriminant Analysis
Santosh Srivastava, Maya R. Gupta, Béla A. Frigyik
Behavioral Shaping for Geometric Concepts
Manu Chhabra, Robert A. Jacobs, Daniel Š
Bilinear Discriminant Component Analysis
Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra
Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim et al.
Boosted Classification Trees and Class Probability/Quantile Estimation
David Mease, Abraham J. Wyner, Andreas Buja
Boosting Algorithms for Maximizing the Soft Margin
Gunnar Rätsch, Manfred K. Warmuth, Karen A. Glocer
Boosting the Area under the ROC Curve
Phil Long, Rocco Servedio
BS-SLAM: Shaping the World
Luis Pedraza, Gamini Dissanayake, Jaime Valls Miro et al.
Building Blocks for Variational Bayesian Learning of Latent Variable Models
Tapani Raiko, Harri Valpola, Markus Harva et al.
Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola, S.v.n. Vishwanathan
Catching Change-points with Lasso
Céline Levy-leduc, Zaïd Harchaoui
Catching Up Faster in Bayesian Model Selection and Model Averaging
Tim V. Erven, Steven D. Rooij, Peter Grünwald
Characterizing the Function Space for Bayesian Kernel Models
Natesh S. Pillai, Qiang Wu, Feng Liang et al.
Classification in Networked Data: A Toolkit and a Univariate Case Study
Sofus A. Macskassy, Foster Provost
Classification via Minimum Incremental Coding Length (MICL)
John Wright, Yangyu Tao, Zhouchen Lin et al.
Closed Loop Control of a Gravity-assisted Underactuated Robot Arm with Application to Aircraft Wing-
Binayak Roy and Harry Asada
Cluster Stability for Finite Samples
Ohad Shamir, Naftali Tishby