112 results on '"Geoffrey I. Webb"'
Search Results
2. Computing Marginal and Conditional Divergences between Decomposable Models with Applications.
3. ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
4. Rapid Identification of Protein Formulations with Bayesian Optimisation.
5. Computing Divergences between Discrete Decomposable Models.
6. A Hands-on Introduction to Time Series Classification and Regression.
7. Smooth Perturbations for Time Series Adversarial Attacks.
8. Extremely Fast Hoeffding Adaptive Tree.
9. MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification.
10. Ultra fast warping window optimization for Dynamic Time Warping.
11. Better Short than Greedy: Interpretable Models through Optimal Rule Boosting.
12. No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.
13. Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series.
14. Monash Time Series Forecasting Archive.
15. Using Sentinel-2 Image Time Series to map the State of Victoria, Australia.
16. Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series.
17. Elastic bands across the path: A new framework and method to lower bound DTW.
18. Deep Learning for the Classification of Sentinel-2 Image Time Series.
19. Extremely Fast Decision Tree.
20. Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data.
21. Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities.
22. Efficient search of the best warping window for Dynamic Time Warping.
23. Generating Synthetic Time Series to Augment Sparse Datasets.
24. Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining.
25. Indexing and classifying gigabytes of time series under time warping.
26. A Fast Trust-Region Newton Method for Softmax Logistic Regression.
27. Preconditioning an Artificial Neural Network Using Naive Bayes.
28. A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests.
29. Scaling log-linear analysis to datasets with thousands of variables.
30. Time Series Classification at Scale.
31. Highly Scalable Attribute Selection for Averaged One-Dependence Estimators.
32. Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.
33. Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression.
34. Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data.
35. A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data.
36. Fast and Effective Single Pass Bayesian Learning.
37. Scaling Log-Linear Analysis to High-Dimensional Data.
38. Techniques for Efficient Learning without Search.
39. Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers.
40. FaSS: Ensembles for Stable Learners.
41. A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification.
42. Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators.
43. Discovering significant rules.
44. To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.
45. Anytime learning and classification for online applications.
46. Incremental Discretization for Naïve-Bayes Classifier.
47. Efficient lazy elimination for averaged one-dependence estimators.
48. Efficiently Identifying Exploratory Rules' Significance.
49. Generality Is Predictive of Prediction Accuracy.
50. Pruning Derivative Partial Rules During Impact Rule Discovery.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.