Papers
Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing
Ronald Wilcox, Stefanos Nikolaidis, Julie Shah
PAC-Bayes Bounds with Data Dependent Priors
Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor et al.
Pairwise Support Vector Machines and their Application to Large Scale Problems
Carl Brunner, Andreas Fischer, Klaus Luig et al.
Parametric Local Metric Learning for Nearest Neighbor Classification
Jun Wang, Alexandros Kalousis, Adam Woznica
Parsing Indoor Scenes Using RGB-D Imagery
Camillo Taylor, Anthony Cowley
Part & Clamp: Efficient Structured Output Learning
Patrick Pletscher, Cheng Soon Ong
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task
Jenna Wiens, Eric Horvitz, John V. Guttag
Pattern for Python
Tom De Smedt, Walter Daelemans
Perceptron Learning of SAT
Alex Flint, Matthew Blaschko
Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Persistent Homology for Learning Densities with Bounded Support
Florian T. Pokorny, Hedvig Kjellström, Danica Kragic et al.
Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
Hyunsin Park, Sungrack Yun, Sanghyuk Park et al.
Physics-Based Grasp Planning Through Clutter
Mehmet Dogar, Kaijen Hsiao, Matei Ciocarlie et al.
Plug-in Approach to Active Learning
Stanislav Minsker
Pointwise Tracking the Optimal Regression Function
Yair Wiener, Ran El-Yaniv
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
Chunhua Shen, Junae Kim, Lei Wang et al.
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle, Ryan P. Adams
Practical Large Scale Classification with Additive Kernels
Hao Yang, Jianxin Wu
Practical Route Planning Under Delay Uncertainty: Stochastic Shortest Path Queries
Sejoon Lim, Christian Sommer, Evdokia Nikolova et al.
PREA: Personalized Recommendation Algorithms Toolkit
Joonseok Lee, Mingxuan Sun, Guy Lebanon
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
Uri Maoz, Shengxuan Ye, Ian Ross et al.
Primal-Dual methods for sparse constrained matrix completion
Yu Xin, Tommi Jaakkola
Priors for Diversity in Generative Latent Variable Models
James T. Kwok, Ryan P. Adams