Papers
Analysis of Perceptron-Based Active Learning
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni
Analysis of SVM with Indefinite Kernels
Yiming Ying, Colin Campbell, Mark Girolami
An Analysis of Convex Relaxations for MAP Estimation of Discrete MRFs
M. Pawan Kumar, Vladimir Kolmogorov, Philip H.S. Torr
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems
Luciana Ferrer, Kemal Sönmez, Elizabeth Shriberg
A Neural Implementation of the Kalman Filter
Robert Wilson, Leif Finkel
A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization
Jacob Abernethy, Francis Bach, Theodoros Evgeniou et al.
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
Douglas Eck, Yoshua Bengio, Aaron C. Courville
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
An LP View of the M-best MAP problem
Menachem Fromer, Amir Globerson
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Manqi Zhao, Venkatesh Saligrama
An Online Algorithm for Large Scale Image Similarity Learning
Gal Chechik, Uri Shalit, Varun Sharma et al.
A Parameter-free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification
Eitan Greenshtein, Junyong Park
Approximating displacement with the body velocity integral
R. L. Hatton and H. Choset
Approximating MAP by Compensating for Structural Relaxations
Arthur Choi, Adnan Darwiche
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Yang Wang, Gholamreza Haffari, Shaojun Wang et al.
A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias, Ciamac C. Moallemi
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj
A Stochastic approximation method for inference in probabilistic graphical models
Peter Carbonetto, Matthew King, Firas Hamze
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
Asela Gunawardana, Guy Shani
Asymptotically Optimal Regularization in Smooth Parametric Models
Percy Liang, Guillaume Bouchard, Francis R. Bach et al.
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher
AUC optimization and the two-sample problem
Nicolas Vayatis, Marine Depecker, Stéphan J. Clémençcon
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
Andreas Bartels, Matthew Blaschko, Jacquelyn A. Shelton