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Authors and titles for cs.LG in Aug 2016

[ total of 240 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 226-240 ]
[ showing 25 entries per page: fewer | more | all ]
[1]  arXiv:1608.00100 [pdf, other]
Title: Online Learning of Event Definitions
Comments: Paper presented at the 32nd International Conference on Logic Programming (ICLP 2016), New York City, USA, 16-21 October 2016, 15 pages, LaTeX, 1 PDF figure
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI)
[2]  arXiv:1608.00104 [pdf, other]
Title: World Knowledge as Indirect Supervision for Document Clustering
Comments: 33 pages, 53 figures, ACM TKDD 2016
Subjects: Learning (cs.LG); Computation and Language (cs.CL); Information Retrieval (cs.IR)
[3]  arXiv:1608.00218 [pdf, other]
Title: Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[4]  arXiv:1608.00220 [pdf, other]
Title: Learning Robust Features using Deep Learning for Automatic Seizure Detection
Comments: Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA
Subjects: Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
[5]  arXiv:1608.00242 [pdf, ps, other]
Title: Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring
Comments: 15 pages, 4 figures, Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA, camera ready version
Subjects: Learning (cs.LG)
[6]  arXiv:1608.00250 [pdf, other]
Title: On Regularization Parameter Estimation under Covariate Shift
Comments: 6 pages, 2 figures, 2 tables. Accepted to ICPR 2016
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[7]  arXiv:1608.00530 [pdf, other]
Title: Early Methods for Detecting Adversarial Images
Comments: ICLR 2017 Workshop Contribution
Subjects: Learning (cs.LG); Cryptography and Security (cs.CR); Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE)
[8]  arXiv:1608.00619 [pdf]
Title: Recursion-Free Online Multiple Incremental/Decremental Analysis Based on Ridge Support Vector Learning
Authors: Bo-Wei Chen
Comments: Ridge support vector machine (Ridge SVM), Ridge support vector regression (Ridge SVR), multiple incremental learning, multiple decremental learning, online learning, batch learning, cloud computing, big data analysis, data analytics
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[9]  arXiv:1608.00621 [pdf]
Title: Efficient Multiple Incremental Computation for Kernel Ridge Regression with Bayesian Uncertainty Modeling
Comments: Multiple incremental analysis, multiple decremental analysis, incremental learning, kernel ridge regression (KRR), recursive KRR, uncertainty analysis, kernelized Bayesian regression, Gaussian process, batch learning, online learning, edge computing, fog computing, regression, classification
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[10]  arXiv:1608.00647 [pdf, other]
Title: Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests
Comments: Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA
Subjects: Learning (cs.LG)
[11]  arXiv:1608.00667 [pdf, other]
Title: Can Active Learning Experience Be Transferred?
Comments: 10 pages, 8 figs, 4 tables, conference
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI)
[12]  arXiv:1608.00712 [pdf, other]
Title: Size-Consistent Statistics for Anomaly Detection in Dynamic Networks
Subjects: Learning (cs.LG)
[13]  arXiv:1608.00842 [pdf]
Title: Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations
Comments: Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA
Subjects: Learning (cs.LG)
[14]  arXiv:1608.00860 [pdf, other]
Title: Hierarchically Compositional Kernels for Scalable Nonparametric Learning
Comments: Journal of Machine Learning Research, vol 18, 2017
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[15]  arXiv:1608.00895 [pdf, other]
Title: RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks
Subjects: Learning (cs.LG); Computation and Language (cs.CL); Neural and Evolutionary Computing (cs.NE)
[16]  arXiv:1608.01072 [pdf, other]
Title: Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms
Comments: 12 pages, 3 figures, submitted at IEEE Transaction on Fuzzy Systems
Subjects: Learning (cs.LG)
[17]  arXiv:1608.01198 [pdf, other]
Title: Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation
Comments: To appear in ICPR 2016
Subjects: Learning (cs.LG)
[18]  arXiv:1608.01230 [pdf, other]
Title: Learning a Driving Simulator
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[19]  arXiv:1608.01264 [pdf, other]
Title: Fast and Simple Optimization for Poisson Likelihood Models
Subjects: Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[20]  arXiv:1608.01281 [pdf, other]
Title: Learning Online Alignments with Continuous Rewards Policy Gradient
Subjects: Learning (cs.LG); Computation and Language (cs.CL)
[21]  arXiv:1608.01410 [pdf, ps, other]
Title: Bayesian Kernel and Mutual $k$-Nearest Neighbor Regression
Authors: Hyun-Chul Kim
Comments: 8 pages
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[22]  arXiv:1608.01747 [pdf, other]
Title: A Distance for HMMs based on Aggregated Wasserstein Metric and State Registration
Comments: submitted to ECCV 2016
Subjects: Learning (cs.LG); Machine Learning (stat.ML)
[23]  arXiv:1608.01874 [pdf, other]
Title: Forward Stagewise Additive Model for Collaborative Multiview Boosting
Comments: The manuscript is currently under "Minor Revision" at IEEE Transactions on Neural Networks and Learning Systems
Subjects: Learning (cs.LG)
[24]  arXiv:1608.02010 [pdf, other]
Title: Communication-Efficient Parallel Block Minimization for Kernel Machines
Subjects: Learning (cs.LG)
[25]  arXiv:1608.02071 [pdf, ps, other]
Title: Transferring Knowledge from Text to Predict Disease Onset
Comments: Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA
Subjects: Learning (cs.LG); Computation and Language (cs.CL)
[ total of 240 entries: 1-25 | 26-50 | 51-75 | 76-100 | ... | 226-240 ]
[ showing 25 entries per page: fewer | more | all ]

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