Papers
173,579 papers found
Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer Dhillon, Sathiya Keerthi, Kedar Bellare et al.
Development of a Testbed for Robotic Neuromuscular Controllers
Alexander Schepelmann, Hartmut Geyer, Michael Taylor
Differentially Private Online Learning
Prateek Jain, Pravesh Kothari, Abhradeep Thakurta
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
Yung-kyun Noh, Frank Park, Daniel D. Lee
Dimensionality Dependent PAC-Bayes Margin Bound
Chi Jin, Liwei Wang
Dip-means: an incremental clustering method for estimating the number of clusters
Argyris Kalogeratos, Aristidis Likas
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition
Yang Wang, Duan Tran, Zicheng Liao et al.
Discriminative Learning of Sum-Product Networks
Robert Gens, Pedro Domingos
Discriminatively Trained Sparse Code Gradients for Contour Detection
Ren Xiaofeng, Liefeng Bo
Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix Agakov, Peter Orchard, Amos Storkey
Distance Metric Learning with Eigenvalue Optimization
Yiming Ying, Peng Li
Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians
Brian Julian, Stephen Smith, Daniela Rus
Distributed Learning, Communication Complexity and Privacy
Maria Florina Balcan, Avrim Blum, Shai Fine et al.
Distributed Non-Stochastic Experts
Varun Kanade, Zhenming Liu, Bozidar Radunovic
Distributed Probabilistic Learning for Camera Networks with Missing Data
Sejong Yoon, Vladimir Pavlovic
Divergences and Risks for Multiclass Experiments
Dario García-García, Robert C. Williamson
Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham Kakade, Dean Foster
Dual-Space Analysis of the Sparse Linear Model
Yi Wu, David P. Wipf
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
Xiaolong Wang, Liang Lin
Dynamic Policy Programming
Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction
Christoph H. Lampert
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
Michael C Hughes, Emily B. Fox, Erik B. Sudderth
Efficient and direct estimation of a neural subunit model for sensory coding
Brett Vintch, Andrew Zaharia, J Movshon et al.
Efficient and Exact MAP-MRF Inference using Branch and Bound
Min Sun, Murali Telaprolu, Honglak Lee et al.