Papers
734 papers found
Learning to Locate Relative Outliers
Shukai Li, Ivor W. Tsang
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers
Blaine Nelson, Battista Biggio, Pavel Laskov
Mixed-Variate Restricted Boltzmann Machines
Truyen Tran, Dinh Phung, Svetha Venkatesh
Multi-label Active Learning with Auxiliary Learner
Chen-Wei Hung, Hsuan-Tien Lin
Multi-label Classification with Error-correcting Codes
Chung-Sung Ferng, Hsuan-Tien Lin
Nonlinear Online Classification Algorithm with Probability Margin
Mingmin Chi, Huijun He, Wenqiang Zhang
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets
Sainbaya Sukhbaatar, Takaki Makino, Kazuyuki Aihara et al.
Summarization of Yes/No Questions Using a Feature Function Model
Jing He, Decheng Dai
Support Vector Machines Under Adversarial Label Noise
Battista Biggio, Blaine Nelson, Pavel Laskov
Unsupervised Multiple Kernel Learning
Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi et al.
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
Albert Bifet, Eibe Frank, Geoffrey Holmes et al.
Adaptive Step-size Policy Gradients with Average Reward Metric
Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models
Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato et al.
A Study of Approximate Inference in Probabilistic Relational Models
Fabian Kaelin, Doina Precup
Conceptual Imitation Learning: An Application to Human-robot Interaction
Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian et al.
Content-based Image Retrieval with Multinomial Relevance Feedback
Dorota Glowacka, John Shawe-Taylor
Decision Tree for Dynamic and Uncertain Data Streams
Chunquan Liang, Yang Zhang, Qun Song
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Han Xiao, Thomas Stibor
Ellipsoidal Support Vector Machines
Michinari Momma, Kohei Hatano, Hiroki Nakayama
Exploiting the High Predictive Power of Multi-class Subgroups
Tarek Abudawood, Peter Flach
Finite-sample Analysis of Bellman Residual Minimization
Odalric-Ambrym Maillard, Remi Munos, Alessandro Lazaric et al.
Generative Models of Information Diffusion with Asynchronous Timedelay
Kazumi Saito, Masahiro Kimura, Kouzou Ohara et al.
Hierarchical Convex NMF for Clustering Massive Data
Kristian Kersting, Mirwaes Wahabzada, Christian Thurau et al.