Papers
173,579 papers found
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Algorithms for Learning Markov Field Policies
Abdeslam Boularias, Jan R. Peters, Oliver B. Kroemer
A Linear Time Active Learning Algorithm for Link Classification
Nicolò Cesa-bianchi, Claudio Gentile, Fabio Vitale et al.
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally
Michael W. Mahoney, Lorenzo Orecchia, Nisheeth K. Vishnoi
A Marginalized Particle Gaussian Process Regression
Yali Wang, Brahim Chaib-draa
A mechanistic model of early sensory processing based on subtracting sparse representations
Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii
A Method of Moments for Mixture Models and Hidden Markov Models
Animashree Anandkumar, Daniel Hsu, Sham M. Kakade
A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang et al.
A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives
Aleix Martinez, Shichuan Du
A Multi-Stage Framework for Dantzig Selector and LASSO
Ji Liu, Peter Wonka, Jieping Ye
Analog readout for optical reservoir computers
Anteo Smerieri, François Duport, Yvon Paquot et al.
Analysis of a Random Forests Model
Gérard Biau
Analysis of Thompson Sampling for the Multi-armed Bandit Problem
Shipra Agrawal, Navin Goyal
Analyzing 3D Objects in Cluttered Images
Mohsen Hejrati, Deva Ramanan
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang, Edward Chang
Ancestor Sampling for Particle Gibbs
Fredrik Lindsten, Thomas Schön, Michael I. Jordan
An Empirical Etudy of Non-Lexical Extensions to Delexicalized Transfer
Anders Søgaard, Julie Wulff
A Neural Autoregressive Topic Model
Hugo Larochelle, Stanislas Lauly
Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma et al.
An Improved GLMNET for L1-regularized Logistic Regression
Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin
An Integer Optimization Approach to Associative Classification
Dimitris Bertsimas, Allison Chang, Cynthia Rudin
An Introduction to Artificial Prediction Markets for Classification
Adrian Barbu, Nathan Lay
An Object-Based Approach to Map Human Hand Synergies onto Robotic Hands with Dissimilar Kinematics
Guido Gioioso, Gionata Salvietti, Monica Malvezzi et al.