Papers
173,579 papers found
Selecting Receptive Fields in Deep Networks
Adam Coates, Andrew Y. Ng
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan, Ran El-Yaniv
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims et al.
Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin
Semi-Supervised Learning with Measure Propagation
Amarnag Subramanya, Jeff Bilmes
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin, Chiyuan Zhang, Xiaofei He
Sequence learning with hidden units in spiking neural networks
Johanni Brea, Walter Senn, Jean-pascal Pfister
Sequential Event Prediction with Association Rules
Cynthia Rudin, Benjamin Letham, Ansaf Salleb-Aouissi et al.
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
Shaping Level Sets with Submodular Functions
Francis R. Bach
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-shwartz, Yonatan Wexler, Amnon Shashua
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A. Kurtek, Anuj Srivastava, Wei Wu
Similarity-based Learning via Data Driven Embeddings
Purushottam Kar, Prateek Jain
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T. Pham, Tat-jun Chin, Jin Yu et al.
Sliding Manipulation of Rigid Bodies on a Controlled 6-DoF Plate
Tom Vose, Paul Umbanhowar, Kevin Lynch
Solving Decision Problems with Limited Information
Denis D. Maua, Cassio Campos
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E. Waters, Aswin C. Sankaranarayanan, Richard Baraniuk
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
Sparse Estimation with Structured Dictionaries
David P. Wipf
Sparse Features for PCA-Like Linear Regression
Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail
Sparse Filtering
Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar et al.
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar et al.
Sparse Linear Identifiable Multivariate Modeling
Ricardo Henao, Ole Winther