Papers
9,311 papers found
Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language
Bichu George, Adarsh S, Nishitkumar Prajapati et al.
Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke et al.
Convex Repeated Games and Fenchel Duality
Shai Shalev-shwartz, Yoram Singer
Training Conditional Random Fields for Maximum Labelwise Accuracy
Samuel S. Gross, Olga Russakovsky, Chuong B. Do et al.
Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina et al.
Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao, Guy Lebanon
Optimal Change-Detection and Spiking Neurons
Angela J. Yu
Comparative Gene Prediction using Conditional Random Fields
Jade P. Vinson, David Decaprio, Matthew D. Pearson et al.
iLSTD: Eligibility Traces and Convergence Analysis
Alborz Geramifard, Michael Bowling, Martin Zinkevich et al.
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas
Analysis of Contour Motions
Ce Liu, William T. Freeman, Edward H. Adelson
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li, Kenneth W. Church, Trevor J. Hastie
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Stefan Klampfl, Wolfgang Maass, Robert A. Legenstein
A Theory of Retinal Population Coding
Eizaburo Doi, Michael S. Lewicki
Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn, Carsten Rother
Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz, Bernhard Schölkopf
Conditional mean field
Peter Carbonetto, Nando D. Freitas
Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann
A Bayesian Model of Conditioned Perception
Alan Stocker, Eero P. Simoncelli
Convex Learning with Invariances
Choon H. Teo, Amir Globerson, Sam T. Roweis et al.
DIFFRAC: a discriminative and flexible framework for clustering
Francis R. Bach, Zaïd Harchaoui