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Rao-Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression A Novel Data Augmentation Approach |
2013/12/31 - 9:40am |
Academic Paper |
Rao-Blackwellization, Bayesian, Linear Regression, Binary Regression, Data Augmentation |
|
Final Report and Recommendations of The President’s Review Group on Intelligence and Communications Technologies |
2013/12/31 - 9:39am |
White Paper |
Surveillance, Intelligence, Communications, Privacy, National Security |
|
Ensembling Neural Networks: Many Could Be Better Than All |
2013/12/30 - 11:46pm |
Academic Paper |
Machine Learning, Neural Networks, Neural Network Ensemble, Boosting, Algorithm |
|
Minimum Majority Classification and Boosting |
2013/12/30 - 11:41pm |
Academic Paper |
Machine Learning, Boosting, Algorithm, Classification |
|
Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning |
2013/12/30 - 11:38pm |
Academic Paper |
Direct Divergence Approximation, Probability Distributions, Machine Learning |
|
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group |
2013/12/30 - 11:34pm |
Academic Paper |
Algorithm, Neural Learning Algorithms, Machine Learning, Riemannian Gradient |
|
Robust Optimization for Unconstrained Simulation-based Problems |
2013/12/30 - 11:29pm |
Academic Paper |
Optimization, Simulation, Data Uncertainty, Nonconvex Optimization |
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Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems |
2013/12/30 - 11:24pm |
Academic Paper |
Binary Classification, Classification |
|
Unified Robust Classification Model |
2013/12/30 - 11:21pm |
Academic Paper |
Algorithm, Machine Learning, Classification |
|
Second-order Perception Algorithm |
2013/12/30 - 11:16pm |
Academic Paper |
Algorithm, Perception Algorithm, Patter, Classification |
|
Introduction to Boosting and Leveraging |
2013/12/30 - 11:12pm |
Academic Paper |
Boosting |
|
Extracting Symbolic Rules from Trained Neural Network Ensembles |
2013/12/30 - 11:10pm |
Academic Paper |
Boosting, Symbolic Rules, Neural Networks |
|
Totally Corrective Boosting Algorithms that Maximize the Margin |
2013/12/30 - 11:00pm |
Academic Paper |
Boosting, Algorithms |
|
Different Boosting Algorithms |
2013/12/30 - 10:56pm |
Academic Paper |
Boosting, Algorithms |
|
LogitBoost Algorithm |
2013/12/30 - 10:54pm |
Academic Paper |
LogitBoost, Algorithm, Boosting |
|
MadaBoost Algorithm |
2013/12/30 - 10:52pm |
Academic Paper |
MadaBoost, Algorithm, Boosting |
|
BrownBoost Algorithm |
2013/12/30 - 10:51pm |
Academic Paper |
BrownBoost, Algorithm, Boosting |
|
LPBoost Algorithm |
2013/12/30 - 10:48pm |
Academic Paper |
LPBoost, Algorithm, Boosting |
|
Adaboost Tutorial |
2013/12/30 - 10:46pm |
Slides |
Adaboost, Algorithm, Boosting |
|
Adaboost Algorithm |
2013/12/30 - 10:44pm |
Slides |
Adaboost, Algorithm, Boosting |
|
Proposal for Neuromorphic Hardware using Spin Devices |
2013/12/30 - 6:02pm |
Academic Paper |
Neuromorphic, Hardware, Spin Devices, Neurons, Neuromorphic Chip Design |
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Random Classification Noise Defeats All Convex Potential Boosters |
2013/12/30 - 5:54pm |
Academic Paper |
Random Classification, Noise, Convex Potential Boosters, Boosting |
|
Online Max-Margin Weight Learning for Markov Logic Networks |
2013/12/29 - 12:22pm |
Slides |
Online Max-Margin Weight Learning, Markov, Markov Logic Networks |
|
Online Structure Learning for Markov Logic Networks |
2013/12/29 - 12:19pm |
Slides |
Online Structure Learning, Markov, Markov Logic Networks |
|
A Simple and Efficient Simulation Smoother for State Space Time Series Analysis |
2013/12/29 - 12:17pm |
Academic Paper |
Simulation, State Space Time Series |
|
A Hybrid Prediction Model for Moving Objects |
2013/12/29 - 12:12pm |
Slides |
Prediction, Moving Objects |
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Nonenzymatic Template-Directed RNA Synthesis Inside Model Protocells |
2013/12/29 - 12:05pm |
White Paper |
Healthcare, Genetics, Biotech, Genome, Artificial Intelligence |
|
Predicting the Present with Bayesian Structural Time Series |
2013/12/29 - 12:02pm |
Academic Paper |
Prediction, Bayesian, Structural Time Series |
|
Boosting Approach to Machine Learning |
2013/12/28 - 12:16pm |
Academic Paper |
Boosting, Machine Learning |
|
Transforming Classifier Scores into Accurate Multiclass Probability Estimates |
2013/12/28 - 12:15pm |
Academic Paper |
Classifier, Multiclass Probability Estimates, Probabilities, Machine Learning |
|
Obtaining Calibrated Probabilities from Boosting |
2013/12/28 - 11:59am |
Academic Paper |
Probabilities, Boosting, Machine Learning |
|
Predicting Good Probabilities with Supervised Learning |
2013/12/28 - 11:57am |
Academic Paper |
Supervised Learning, Algorithms, Supervised Learning Algorithms |
|
Searching for Dependencies in Bayesian Classifiers |
2013/12/28 - 11:55am |
Academic Paper |
Bayesian Classifiers, Bayesian, Classification, Classifiers |
|
Python Epiphanies |
2013/12/26 - 11:51am |
Video |
Python |
|
Predictive Analytics using Storm, Hadoop, R and AWS |
2013/12/26 - 11:47am |
Video |
Predictive Analytics, Storm, Hadoop, R, AWS |
|
Real-Time Big Data Analytics with Storm |
2013/12/26 - 11:46am |
Video |
Real-Time, Storm |
|
Cassandra Architecture, Development & Operations |
2013/12/26 - 11:42am |
Video |
Cassandra, Database, NoSQL |
|
Evaluating NoSQL Performance: Which Database is Right for Your Data? |
2013/12/26 - 11:40am |
Video |
Database, NoSQL |
|
An Empirical Comparison of Supervised Learning Algorithms |
2013/12/26 - 10:25am |
Academic Paper |
Algorithms, Supervised Learning Algorithms |
|
Inferring Causal Impact using Bayesian Structural Time-series |
2013/12/26 - 10:22am |
Academic Paper |
Causality, Bayesian, Bayesian Structural Time-series, Structural Time-series |
|
On Making Causal Claims: A Review and Recommendations |
2013/12/26 - 10:20am |
Academic Paper |
Causality, Data Science |
|
Efficient Simulation and Integrated Likelihood Estimation in State Space Models |
2013/12/26 - 10:17am |
Academic Paper |
Efficient Simulation and Integrated Likelihood Estimation in State Space Models |
|
Predicting the Present with Google Trends |
2013/12/26 - 10:16am |
Academic Paper |
Predicting, Google Trends, Forecasting |
|
Internet search behavior as an economic forecasting tool the case of inflation expectations |
2013/12/26 - 10:13am |
Academic Paper |
Internet Search Behavior, Forecasting, Economics |
|
Introduction to Artificial Prediction Markets for Classification |
2013/12/22 - 11:54am |
Academic Paper |
Prediction, Classification |
|
SPOT: R Package Automatic Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization |
2013/12/22 - 11:52am |
Academic Paper |
Spot, R, Automatic Interactive Tuning, Optimization Algorithms, Sequential Parameter Optimization |
|
Missing Data using Decision Forest and Computational Intelligence |
2013/12/22 - 11:49am |
Academic Paper |
Missing Data, Decision Forest, Computational Intelligence |
|
Comparison of Decision Algorithms on Newcomblike Problems |
2013/12/21 - 12:36pm |
Academic Paper |
Algorithm, Decision Algorithms, Data Science |
|
Probabilistic Metamathematics and Definability of Truth |
2013/12/21 - 12:17pm |
Video |
Probabilistic Metamathematics, Bayesian, Data Science |
|
Program Equilibrium via Provability Logic: Robust Cooperation in Prisoners Dilemma |
2013/12/21 - 12:12pm |
Academic Paper |
Artificial Intelligence, Algorithm, Equilibrium, Provability Logic |
