Papers

734 papers found
Efficient Sample Mining for Object Detection
Olivier Canevet, Francois Fleuret
2014 ACML
Ensembles for Time Series Forecasting
Mariana Oliveira, Luis Torgo
2014 ACML
Interval Insensitive Loss for Ordinal Classification
Kostiantyn Antoniuk, Vojtech Franc, Vaclav Hlavac
2014 ACML
Learning with Augmented Multi-Instance View
Yue Zhu, Jianxin Wu, Yuan Jiang et al.
2014 ACML
Online matrix prediction for sparse loss matrices
Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto et al.
2014 ACML
2014 ACML
Ordinal Random Fields for Recommender Systems
Shaowu Liu, Truyen Tran, Gang Li
2014 ACML
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
Ku-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang et al.
2014 ACML
Quasi Newton Temporal Difference Learning
Arash Givchi, Maziar Palhang
2014 ACML
Reinforcement learning with value advice
Mayank Daswani, Peter Sunehag, Marcus Hutter
2014 ACML
Sample Distillation for Object Detection and Image Classification
Olivier Canevet, Leonidas Lefakis, Francois Fleuret
2014 ACML
Sparse binary zero-sum games
David Auger, Jianlin Liu, Sylkvie Ruette et al.
2014 ACML
Sparsity on Statistical Simplexes and Diversity in Social Ranking
Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet
2014 ACML
Structured Denoising Autoencoder for Fault Detection and Analysis
Takaaki Tagawa, Yukihiro Tadokoro, Takehisa Yairi
2014 ACML
Support vector machines with indefinite kernels
Ibrahim Alabdulmohsin, Xin Gao, Xiangliang Zhang Zhang
2014 ACML
Theoretical Analyses on Ensemble and Multiple Kernel Regressors
Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai et al.
2014 ACML
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction
Kazuho Watanabe, Teemu Roos, Petri Myllymäki
2013 ACML
Aggregating Predictions via Sequential Mini-Trading
Mindika Premachandra, Mark Reid
2013 ACML