| ID | Branch | Language | Name | Actions |
| 10385 | main | en | SBNS | show |
| 10432 | main | en | Cuevas CFF Clustering | show |
| 10452 | main | en | MDP and Reinforcement Learning Visualization | show |
| 10474 | main | en | Scan Statistics | show |
| 14615 | main | en | Variable Resolution Reinforcement Learning | show |
| 14616 | main | en | Knowledge of Knowledge and Intelligent Experimentation for Learning Control | show |
| 14619 | main | en | Learning Robotic Control: PhD. Thesis Proposal | show |
| 14628 | main | en | Variable Resolution Dynamic Programming: Efficiently Learning Action Maps in Multivariate Real-valued State-spaces | show |
| 14629 | main | en | Fast, Robust Adaptive Control by Learning only Forward Models | show |
| 14630 | main | en | Acquisition of Dynamic Control Knowledge for a Robotic Manipulator | show |
| 14660 | main | en | The Anchors Hierarchy: Using the Triangle Inequality to Survive High-Dimensional Data | show |
| 14665 | main | en | A tutorial on kd-trees | show |
| 14669 | main | en | Very Fast EM-based Mixture Model Clustering Using Multiresolution KD-trees | show |
| 14700 | main | en | A short tutorial note on computing information gain from counts | show |
| 14712 | main | en | Efficient Memory-based Learning for Robot Control | show |
| 14757 | main | en | Finding Optimal Bayesian Networks by Dynamic Programming | show |
| 10458 | main | en | Dense Association Rules | show |
| 10506 | main | en | k-groups/GDA | show |
| 10490 | main | en | WSARE | show |
| 15867 | main | en | Anomalous Spatial Cluster Detection | show |
| 15941 | main | en | Vizier | show |
| 16063 | main | en | Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery | show |
| 15868 | main | en | Detecting Anomalous Patterns in Pharmacy Retail Data | show |
| 16193 | main | en | Belief State Approaches to Signaling Alarms in Surveillance Systems | show |
| 15962 | main | en | Alias Detection Datasets | show |
| 15958 | main | en | Optimal Reinsertion Datasets | show |
| 16343 | main | en | Activity From Demographics and Links | show |
| 10538 | main | en | lr_trirls | show |
| 10448 | main | en | convert | show |
| 16598 | main | en | Auton Lab Faculty | show |
| 16454 | main | en | Scalable and Robust Group Discovery on Large Transactional Data (XGDA) | show |
| 16630 | main | en | A Bayesian spatial scan statistic | show |
| 15970 | main | en | Dynamic Social Network Analysis using Latent Space Models | show |
| 16631 | main | en | A Bayesian scan statistic for spatial cluster detection | show |
| 10530 | main | en | Bayes Net Learner | show |
| 10498 | main | en | cGraph | show |
| 16839 | main | en | Autonomous Visualization | show |
| 16663 | main | en | Monitoring Food Safety by Detecting Patterns in Consumer Complaints | show |
| 14716 | main | en | Dependency Trees in Sub-linear Time and Bounded Memory | show |
| 14675 | main | en | Detecting Significant Multidimensional Spatial Clusters | show |
| 14680 | main | en | Efficiently Identifying Close Track/Observation Pairs in Continuous Timed Data | show |
| 14707 | main | en | Fast Inference and Learning in Large-State-Space HMMs | show |
| 14710 | main | en | Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity | show |
| 14711 | main | en | Alias Detection in Link Data Sets | show |
| 14715 | main | en | A Multiple Tree Algorithm for the Efficient Association of Asteroid Observations | show |
| 14717 | main | en | Making Logistic Regression A Core Data Mining Tool With TR-IRLS | show |
| 14644 | main | en | Tractable Learning of Large Bayes Net Structures from Sparse Data | show |
| 14645 | main | en | Alias Detection in Link Data Sets | show |
| 14667 | main | en | Rapid Detection of Significant Spatial Clusters | show |
| 14668 | main | en | The IOC algorithm: Efficient Many-Class Non-parametric Classification for High-Dimensional Data | show |
| 14673 | main | en | Semantic based Biomedical Image Indexing and Retrieval | show |
| 14674 | main | en | Active Learning for Anomaly and Rare-Category Detection | show |
| 14676 | main | en | Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology | show |
| 14708 | main | en | High-Dimensional Probabilistic Classification for Drug Discovery | show |
| 14714 | main | en | An Investigation of Practical Approximate Nearest Neighbor Algorithms | show |
| 14618 | main | en | Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs | show |
| 14624 | main | en | A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion | show |
| 14632 | main | en | Probabilistic Noise Identification and Data Cleaning | show |
| 14633 | main | en | cGraph: A Fast Graph-Based Method for Link Analysis and Queries | show |
| 14634 | main | en | Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries | show |
| 14635 | main | en | Tractable Group Detection on Large Link Data Sets | show |
| 14636 | main | en | Optimal Reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning | show |
| 14637 | main | en | What's Strange About Recent Events | show |
| 14639 | main | en | Empirical Bayes Screening for Link Analysis | show |
| 14642 | main | en | Bayesian Network Anomaly Pattern Detection for Disease Outbreaks | show |
| 14648 | main | en | A Fast Multi-Resolution Method for Detection of Significant Spatial Overdensities | show |
| 14649 | main | en | Efficient Exact k-NN and Nonparametric Classification in High Dimensions | show |
| 14650 | main | en | Rapid Evaluation of Multiple Density Models | show |
| 14666 | main | en | A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters | show |
| 14605 | main | en | Variable Resolution Discretization in Optimal Control | show |
| 14638 | main | en | Summary of Biosurveillance-relevant statistical and data mining technologies | show |
| 14622 | main | en | Rule-based Anomaly Pattern Detection for Detecting Disease Outbreaks | show |
| 14640 | main | en | Stochastic Link and Group Detection | show |
| 14651 | main | en | Efficient Algorithms for Non-Parametric Clustering with Clutter | show |
| 14653 | main | en | Interpolating Conditional Density Trees | show |
| 14654 | main | en | Using Tarjan's Red Rule for Fast Dependency Tree Construction | show |
| 14671 | main | en | Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes | show |
| 14677 | main | en | Active Learning in Discrete Input Spaces | show |
| 14607 | main | en | Direct Policy Search using Paired Statistical Tests | show |
| 14656 | main | en | Mixtures of Rectangles: Interpretable Soft Clustering | show |
| 14657 | main | en | Repairing Faulty Mixture Models using Density Estimation | show |
| 14658 | main | en | N-Body Problems in Statistical Learning | show |
| 14672 | main | en | Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures | show |
| 14679 | main | en | Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids | show |
| 14646 | main | en | A Nonparametric Approach to Noisy and Costly Optimization | show |
| 14652 | main | en | Condensed Representations for computationally tractable data mining of massive sky surveys | show |
| 14659 | main | en | A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets | show |
| 14661 | main | en | X-means: Extending K-means with Efficient Estimation of the Number of Clusters | show |
| 14662 | main | en | Learning Filaments | show |
| 14664 | main | en | Mixnets: Learning Bayesian Networks with mixtures of discrete and continuous attributes | show |
| 14608 | main | en | Bayesian Networks for Lossless Dataset Compression | show |
| 14609 | main | en | Efficient Multi-Object Dynamic Query Histograms | show |
| 14610 | main | en | Influence and Variance of a Markov Chain: Application to adaptive discretization in optimal control | show |
| 14611 | main | en | Variable Resolution discretizations for high-accuracy solutions of optimal control problems | show |
| 14641 | main | en | Distributed Value Functions | show |
| 14663 | main | en | Accelerating Exact k-means Algorithms with Geometric Reasoning | show |
| 14670 | main | en | Accelerating Exact k-means Algorithms with Geometric Reasoning (Extended version) | show |
| 14681 | main | en | Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs | show |
| 14612 | main | en | Applying online search techniques to Continuous-State reinforcement learning | show |
| 14647 | main | en | AD-trees for Fast Counting and for Fast Learning of Association Rules | show |
| 14682 | main | en | Learning Evaluation Functions for Global Optimization and Boolean Satisfiability | show |
| 14687 | main | en | Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets | show |
| 14688 | main | en | Q2: Memory-based active learning for optimizing noisy continuous functions | show |
| 14689 | main | en | Value Function Based Production Scheduling | show |
| 14606 | main | en | Simulation-based optimization of a stochastic product coating problem using hash-table cacheing of costs | show |
| 14620 | main | en | A tutorial on using the Vizier memory-based learning system | show |
| 14683 | main | en | Locally Weighted Learning for Control | show |
| 14684 | main | en | Using Prediction to Improve Combinatorial Optimization Search | show |
| 14691 | main | en | Locally Weighted Learning | show |
| 14692 | main | en | Efficient Locally Weighted Polynomial Regression Predictions | show |
| 14694 | main | en | The Racing Algorithm: Model Selection for Lazy Learners | show |
| 14685 | main | en | Algorithms for Approximating Optimal Value Functions in Acyclic Domains | show |
| 14686 | main | en | Reinforcement Learning: A Survey | show |
| 14697 | main | en | Memory-based Stochastic Optimization | show |
| 14614 | main | en | Proceedings of the Workshop on Value Function Approximation, Machine Learning Conference 1995. | show |
| 14695 | main | en | An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators | show |
| 14696 | main | en | Generalization in Reinforcement Learning: Safely Approximating the Value Function | show |
| 14698 | main | en | Learning Automated Product Recommendations Without Observable Features: An Initial Investigation | show |
| 14699 | main | en | The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces | show |
| 14701 | main | en | Multiresolution Instance-based Learning | show |
| 14702 | main | en | Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation | show |
| 14704 | main | en | Efficient Algorithms for Minimizing Cross Validation Error | show |
| 14706 | main | en | The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces | show |
| 14703 | main | en | Prioritized Sweeping: Reinforcement Learning with Less Data and Less Real Time | show |
| 14617 | main | en | Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping | show |
| 14627 | main | en | Experiments in Adaptive State Space Robotics | show |
| 17408 | main | en | A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs | show |
| 10453 | main | en | Dense Logistic Regression | show |
| 10400 | main | en | Sparse Logistic Regression | show |
| 17458 | main | en | Sequential Update of ADtrees | show |
| 17610 | main | en | Fast State Discovery for HMM Model Selection and Learning | show |
| 10377 | main | en | K-means | show |
| 18382 | main | en | Fast Incremental Proximity Search in Large Graphs | show |
| 10378 | main | en | npt | show |
| 18832 | main | en | Fast Dynamic Reranking in Large Graphs | show |
| 16020 | main | en | Efficient Analytics for Effective Monitoring of Biomedical Security | show |
| 10416 | main | en | AFDL (Activity From Demographics and Links) | show |
| 10542 | main | en | XGDA Learn | show |
| 10395 | main | en | Simple kd-Trees Source Code | show |
| 10466 | main | en | Fast EM Clustering | show |
| 16478 | main | en | Fast Classifiers | show |
| 10440 | main | en | Dense Naive Bayes Classifier | show |
| 10408 | main | en | Sparse K Nearest Neighbor | show |
| 10424 | main | en | Sparse Naive Bayes Classifier | show |
| 10482 | main | en | Simple kd-Trees | show |
| 10522 | main | en | Dense K Nearest Neighbor | show |