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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: Energy-Economic Multiple Incremental/Decremental Kernel Ridge Regression for Green Clouds
Authors: Bo-Wei Chen
Comments: 6 pages, 0 figure, multiple incremental/decremental analysis, kernel ridge regression (KRR), kernelized Bayesian regression, Gaussian process, batch learning, online learning, cloud computing, big streams
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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