Scientific Method in Practice - Reproducibility in the Computational Sciences |
2014/01/26 - 9:04pm |
Academic Paper |
Scientific Method, Reproducibility, Scientific Computing, Machine Learning |

Machine Learning for Display Advertising Tutorial |
2014/01/26 - 11:18am |
Slides |
Machine Learning, Display Advertising |

Mixing Probabilities, Priors and Kernels via Entropy Pooling |
2014/01/26 - 11:15am |
Academic Paper |
Entropy Pooling, Machine Learning, Black-Litterman, Fuzzy Membership, Mahalanobis Distance, Gaussian Kernel, Crisp Conditioning, Exponential Decay, Kernel Smoothing |

Predictive Modeling with Social Networks Tutorial |
2014/01/25 - 10:56am |
Slides |
Predictive Modeling, Predictive Analytics, Social Networks, Collective Classification, Collective Inference |

Classification in Networked Data |
2014/01/25 - 10:50am |
Academic Paper |
Classification, Networked Data, NetKit, Relational Learning, Network Learning, Collective Inference, Collective Classification, Probabilistic Relational Models, Network Analysis |

Machine Learning and Algorithmic Trading In Fixed Income Markets |
2014/01/25 - 10:38am |
Academic Paper |
Machine Learning, Algorithms, Trading, Finance |

Artificial Neural Networks for Beginners |
2014/01/25 - 10:35am |
External Course |
Artificial Neural Networks, Neural Networks, Networks, Backpropagation Algorithm, Algorithm, Parallel Distributed Processing |

Machine Learning for Portolio Optimization: A Novel Algorithmic Trading Framework |
2014/01/25 - 10:30am |
Academic Paper |
Algorithm, Machine Learning, Finance, Trading, Portolio Optimization, Automated Trading System, Support Vector Machines, Artificial Neural Networks |

PlusCal Algorithm Language |
2014/01/24 - 11:23am |
Academic Paper |
Algorithm, PlusCal, TLA+, Fast Mutual Exclusion Algorithm, Distributed Message-passing Algorithm, Alternating Bit Protocol |

Real-Time Analytical Processing (RTAP) using Spark Stack |
2014/01/23 - 11:25pm |
Video |
Real-time Analytical Processing, Spark, Big Data, Streaming |

Administering Spark |
2014/01/23 - 11:20pm |
Video |
Spark, Big Data Infrastructure, Streaming |

Using Spark and Shark for Fast Cycle Analysis on Diverse Data |
2014/01/23 - 11:18pm |
Video |
Spark, Shark, Fast Cycle Analysis, Big Data Infrastructure, Streaming |

Spark Integration Into Enterprise Big Data Stack |
2014/01/23 - 11:14pm |
Video |
Spark, Big Data, Big Data Infrastructure, Streaming |

Real-time Big Data Processing with Spark Streaming |
2014/01/23 - 11:10pm |
Video |
Real-Time, Data Processing, Spark, Streaming, Big Data |

Bayesian Statistics Tutorial using Python |
2014/01/23 - 6:40pm |
Video |
Bayesian, Statistics, Python, Bayesian Classifiers |

Causal Entropic Forces |
2014/01/23 - 10:10am |
Academic Paper |
Entropic Forces, Machine Learning, Intelligence, Entropy Maximization, Entropy, Adaptive Behavior |

Networking Faster Than Light |
2014/01/22 - 7:02pm |
Video |
Virtual Worlds, Currency Exchanges, Telepresence, Remote Surgery |

An Equation for Intelligence |
2014/01/22 - 6:57pm |
Video |
Machine Learning, Machine Intelligence, Artificial Intelligence |

Why Most Published Research Findings Are False |
2014/01/22 - 6:50pm |
Academic Paper |
Research, Nonreplication, John P. A. Ioannidis, Statistical Signiﬁcance, Correlation, Bias, Evidence, Causation, Fraud |

Markov Chains Work Force Planning Models |
2014/01/21 - 6:02pm |
Slides |
Markov Chains, Markov, Human Resources, Work Force Planning Models |

Quantifying Trading Behavior in Financial Markets Using Google Trends |
2014/01/20 - 10:29pm |
Academic Paper |
Data Science, Big Data, Financial Markets, Predictive Analytics, Search Volume, Data Mining, Google Trends, Computational Social Science, Digital Traces, Dow Jones Industrial Average |

Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data |
2014/01/20 - 10:20pm |
Academic Paper |
Data Science, Business Intelligence, Model Selection, Machine Learning, Classification Tree, Posterior Predictive Model Checking, Hidden Markov Models, Hierarchical Bayesian Methods, Random Forests, Forecasting |

Quantitative Legal Prediction |
2014/01/20 - 11:17am |
Academic Paper |
Legal Services, Predictive Analytics, e-Discovery, Legal Prediction |

Study: Big Data Investment, Skills, and Firm Value |
2014/01/19 - 11:08am |
Academic Paper |
ROI, Big Data Investment, Skills, Firm Value, Big Data, Data Science |

Measuring Business Impacts of Effective Data |
2014/01/19 - 11:05am |
White Paper |
ROI, Big Data, Data Science, Marketing, Sales |

Marketing ROI in Era of Big Data |
2014/01/19 - 11:02am |
Academic Paper |
Marketing, ROI, Big Data, Data Science |

Maximizing the Impact and Effectiveness of HR Analytics to Drive Business Outcomes |
2014/01/19 - 10:53am |
Academic Paper |
HR Analytics, Human Resources, Data Science, Big Data |

Transparent Predictions |
2014/01/18 - 12:01pm |
Academic Paper |
Prediction, Predictive Analytics, Predictive Modeling, Data Mining, Law, Privacy, Regulation |

Algorithmic Progress in Six Domains |
2014/01/17 - 9:58am |
Academic Paper |
Algorithm, Machine Learning, Boolean Satisfiability, Artificial Intelligence |

Building Brains to Understand the World's Data |
2014/01/17 - 9:54am |
Video |
Machine Learning, Brain, Artificial Intelligence |

Mechanization of Causal Inference: A "mini" Turing Test and Beyond |
2014/01/17 - 9:47am |
Video |
Causal Inference, Turing Test |

Efficient Analysis of Probabilistic Programs with an Unbounded Counter |
2014/01/16 - 7:15pm |
Academic Paper |
Machine Learning, Probabilistic Programs, Unbounded Counter, Probabilistic Logic |

Random Forest & Decision Trees using R |
2014/01/16 - 7:10pm |
Slides |
Random Forests, Decision Trees, R Language |

Decisive Markov Chains |
2014/01/15 - 10:43am |
Academic Paper |
Markov, Markov Chains, Decisive Markov Chains, Infinite Markov Chains, Verification, Model Checking, Probabilistic Lossy Channel Systems, Probabilistic Vector Addition Systems, Probabilistic Noisy Turing Machines |

Reversible Markov Chains |
2014/01/15 - 10:37am |
Academic Paper |
Markov, Markov Chains, Reversible Markov Chains |

Decision Theory - Language of Adaptive Agent Software |
2014/01/14 - 12:36pm |
Slides |
Decision Theory, Adaptive Agent Software |

Instance-Based Ontological Knowledge Acquisition |
2014/01/13 - 10:08am |
Academic Paper |
Ontological Knowledge Acquisition, Semi-automatic Ontology Integration Framework, Linked Open Data, Web Ontology Language |

BIIIG: Enabling Business Intelligence with Integrated Instance Graphs |
2014/01/12 - 11:53am |
Academic Paper |
Business Intelligence, Integrated Instance Graphs, Graphical Models, Visualization, Interactive Visual Analysis |

Runtime Analysis of Probabilistic Programs with Unbounded Recursion |
2014/01/12 - 11:49am |
Academic Paper |
Probabilistic Programs, Unbounded Recursion, Probabilistic Pushdown Automata, Markov, Recursive Markov Chains |

ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data |
2014/01/11 - 2:05pm |
Academic Paper |
Neuroscience, ConnectomeExplorer, Query-Guided Visual Analysis, Interactive Visual Analysis, Brain, 3D Objects, Connectomics, Query Algebra, Visual Knowledge Discovery, Petascale Volume Analysis |

Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images |
2014/01/11 - 1:48pm |
Academic Paper |
Neurons, Neuroscience, Random Forest, Conditional Random Field Framework, 3D Objects, Segmentation Fusion, Automatic Segmentation, Brain Imaging, Automatic Image Acquisition |

Open Connectome Project Data Cluster - Scalable Analysis and Vision for High-Throughput Neuroscience |
2014/01/11 - 1:32pm |
Academic Paper |
Neuroscience, Open Connectome Project, Scalable Database Cluster, Spatial Analysis, Brain Imaging Data, Time-series Data, Multi-channel Data, Distributed Databases, Scientific Databases, Connectomics |

Building High-level Features using Large Scale Unsupervised Learning |
2014/01/11 - 12:58pm |
Academic Paper |
Unsupervised Learning, Deep Learning, Machine Learning, Class-specific Feature Detectors, Algorithm, Unlabeled Data, Self-taught Learning Framework, High-level Features |

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors |
2014/01/11 - 12:51pm |
Academic Paper |
Knowledge Bases, Neural Tensor Networks, Semantic Word Vectors, Ontologies, Learned Entity Vectors |

Machine Learning Tutorial Part 1 |
2014/01/10 - 2:15pm |
Video |
Machine Learning |

Machine Learning Tutorial Part 2 |
2014/01/10 - 2:14pm |
Video |
Machine Learning |

Machine Learning Tutorial Part 3 |
2014/01/10 - 2:13pm |
Video |
Machine Learning |

Machine Learning Tutorial Part 4 |
2014/01/10 - 2:12pm |
Video |
Machine Learning |

Machine Learning Tutorial Part 5 |
2014/01/10 - 2:10pm |
Video |
Machine Learning |

Machine Learning Tutorial Part 6 |
2014/01/10 - 2:07pm |
Video |
Machine Learning |