201 results on '"Lawrence K. Saul"'
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2. An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations.
3. The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference.
4. Variational Inference with Gaussian Score Matching.
5. A Nonlinear Matrix Decomposition for Mining the Zeros of Sparse Data.
6. Measuring security practices.
7. Weight-balancing fixes and flows for deep learning.
8. An online passive-aggressive algorithm for difference-of-squares classification.
9. Generating correctness proofs with neural networks.
10. SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data.
11. An EM Algorithm for Capsule Regression.
12. Measuring Security Practices and How They Impact Security.
13. Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data.
14. 'Unobserved Corner' Prediction: Reducing Timing Analysis Effort for Faster Design Convergence in Advanced-Node Design.
15. A geometrical connection between sparse and low-rank matrices and its application to manifold learning.
16. Using Machine Learning to Predict Path-Based Slack from Graph-Based Timing Analysis.
17. HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations.
18. SpeakQL: Towards Speech-driven Multi-modal Querying.
19. Generating Correctness Proofs with Neural Networks.
20. Who is .com?: Learning to Parse WHOIS Records.
21. From .academy to .zone: An Analysis of the New TLD Land Rush.
22. Failure analysis and prediction for the CIPRES science gateway.
23. On the (In)effectiveness of Mosaicing and Blurring as Tools for Document Redaction.
24. Knock it off: profiling the online storefronts of counterfeit merchandise.
25. A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data.
26. Search + Seizure: The Effectiveness of Interventions on SEO Campaigns.
27. eDoctor: Automatically Diagnosing Abnormal Battery Drain Issues on Smartphones.
28. A Variational Approximation for Topic Modeling of Hierarchical Corpora.
29. Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning.
30. Maximum Covariance Unfolding : Manifold Learning for Bimodal Data.
31. Topic modeling of freelance job postings to monitor web service abuse.
32. Judging a site by its content: learning the textual, structural, and visual features of malicious web pages.
33. Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.
34. Beyond heuristics: learning to classify vulnerabilities and predict exploits.
35. Kernel Methods for Deep Learning.
36. A fast online algorithm for large margin training of continuous density hidden Markov models.
37. Beyond blacklists: learning to detect malicious web sites from suspicious URLs.
38. Large-margin feature adaptation for automatic speech recognition.
39. Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models.
40. A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles.
41. Matrix updates for perceptron training of continuous density hidden Markov models.
42. Identifying suspicious URLs: an application of large-scale online learning.
43. Learning dictionaries of stable autoregressive models for audio scene analysis.
44. Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation.
45. Fast solvers and efficient implementations for distance metric learning.
46. Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data.
47. Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models.
48. Multiplicative Updates for L1-Regularized Linear and Logistic Regression.
49. Graph Laplacian Regularization for Large-Scale Semidefinite Programming.
50. Large Margin Hidden Markov Models for Automatic Speech Recognition.
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