Papers
173,579 papers found
Variational Bayesian Optimization for Runtime Risk-Sensitive Control
Scott Kuindersma, Roderic Grupen, Andrew Barto
Variational Inference for Crowdsourcing
Qiang Liu, Jian Peng, Alex Ihler
Variational Multinomial Logit Gaussian Process
Kian Ming A. Chai
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity
Angela Eigenstetter, Bjorn Ommer
Visual Route Recognition with a Handful of Bits
Michael Milford
Volume Regularization for Binary Classification
Koby Crammer, Tal Wagner
Walking and running on yielding and fluidizing ground
Feifei Qian, Tingnan Zhang, chen Li et al.
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
Christian Mayr, Paul Stärke, Johannes Partzsch et al.
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
Won H. Kim, Deepti Pachauri, Charles Hatt et al.
(weak) Calibration is Computationally Hard
Elad Hazan, Sham M. Kakade
Weighted Likelihood Policy Search with Model Selection
Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio et al.
What's in the Bag: A Distributed Approach to 3D Shape Duplication with Modular Robots
Kyle Gilpin, Daniela Rus
What Types of Interactions do Bio-Inspired Robot Swarms and Flocks Afford a Human?
Michael Goodrich, Sean Kerman, Brian Pendleton et al.
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding
Philip Sterne, Joerg Bornschein, Abdul-saboor Sheikh et al.
Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration
Arnak Dalalyan, Olivier Collier
$\theta$-MRF: Capturing Spatial and Semantic Structure in the Parameters for Scene Understanding
Congcong Li, Ashutosh Saxena, Tsuhan Chen
A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes
Stéphane Ross, Joelle Pineau, Brahim Chaib-draa et al.
A Bayesian Approximation Method for Online Ranking
Ruby C. Weng, Chih-Jen Lin
A blind sparse deconvolution method for neural spike identification
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Julie Dethier, Paul Nuyujukian, Chris Eliasmith et al.
Accelerated Adaptive Markov Chain for Partition Function Computation
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal et al.
Acceleration Technique for Boosting Classification and its Application to Face Detection
Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi et al.
A Close Look to Margin Complexity and Related Parameters
Michael Kallweit, Hans Ulrich Simon
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jacob D. Abernethy, Rafael M. Frongillo
A concave regularization technique for sparse mixture models
Martin O. Larsson, Johan Ugander