Papers
734 papers found
Multi-view Positive and Unlabeled Learning
Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao et al.
Online Rank Aggregation
Shota Yasutake, Kohei Hatano, Eiji Takimoto et al.
On Using Nearly-Independent Feature Families for High Precision and Confidence
Omid Madani, Manfred Georg, David A. Ross
Practical Large Scale Classification with Additive Kernels
Hao Yang, Jianxin Wu
QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization
Hartmut Neven, Vasil S. Denchev, Geordie Rose et al.
Recovering Networks from Distance Data
Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm et al.
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
Spatial Locality-Aware Sparse Coding and Dictionary Learning
Jiang Wang, Junsong Yuan, Zhouyuan Chen et al.
Statistical Models for Exploring Individual Email Communication Behavior
Nicholas Navaroli, Christopher DuBois, Padhraic Smyth
Supervised Dimension Reduction with Topic Models
Khoat Than, Tu Bao Ho, Duy Khuong Nguyen et al.
Topographic Analysis of Correlated Components
Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno et al.
Two-way Parallel Class Expression Learning
An C. Tran, Jens Dietrich, Hans W. Guesgen et al.
Variational Bayesian Matching
Arto Klami
Acceleration Technique for Boosting Classification and its Application to Face Detection
Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi et al.
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications
Kun Zhang, Aapo Hyvärinen
Approximate Model Selection for Large Scale LSSVM
Lizhong Ding, Shizhong Liao
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo
Masakuzu Ishihata, Taisuke Sato
Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information
Makoto Yamada, Gang Niu, Jun Takagi et al.
Continuous Rapid Action Value Estimates
Adrien Couëtoux, Mario Milone, Mátyás Brendel et al.
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results
Akihiro Koide, Kazumi Saito, Kouzou Ohara et al.
Improving Policy Gradient Estimates with Influence Information
Jervis Pinto, Alan Fern, Tim Bauer et al.
Learning Attribute-weighted Voter Model over Social Networks
Yuki Yamagishi, Kazumi Saito, Kouzou Ohara et al.
Learning low-rank output kernels
Francesco Dinuzzo, Kenji Fukumizu
Learning Rules from Incomplete Examples via Implicit Mention Models
Janardhan Rao Doppa, Mohammad Shahed Sorower, Mohammad Nasresfahani et al.