Friedman, Nir
- Context-Specific Independence in Bayesian Networks
2013/02/13 by Craig Boutilier, Boutilier, Craig, Nir Friedman +5 · 16 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge
- Data Analysis with Bayesian Networks: A Bootstrap Approach
2013/01/23 by Friedman, Nir, Goldszmidt, Moises, Wyner, Abraham · 5 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Bayesian Structural EM Algorithm
2013/01/30 by Nir Friedman, Friedman, Nir · 5 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Learning the Structure of Dynamic Probabilistic Networks
2013/01/30 by Friedman, Nir, Murphy, Kevin, Russell, Stuart · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Gaussian Process Networks
2013/01/16 by Nir Friedman, Friedman, Nir, Iftach Nachman +1 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Multivariate Information Bottleneck
2013/01/10 by Nir Friedman, Ori Mosenzon, Friedman, Nir +5 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Rough Sets and Fuzzy Logic
- Model-Based Bayesian Exploration
2013/01/23 by Richard Dearden, Nir Friedman, Dearden, Richard +3 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Being Bayesian about Network Structure
2013/01/16 by Friedman, Nir, Koller, Daphne · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Mean Field Variational Approximation for Continuous-Time Bayesian Networks
2012/05/09 by Ido Cohn, Tal El‐Hay, Cohn, Ido +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Time Series Analysis and Forecasting
- Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
2013/01/23 by Friedman, Nir, Nachman, Iftach, Pe'er, Dana · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Module Networks
2012/10/19 by Segal, Eran, Pe'er, Dana, Regev, Aviv +2 · 1 citation
#Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #and Science (cs.CE)
- Plausibility Measures: A User's Guide
2013/02/20 by Nir Friedman, Friedman, Nir, Joseph Y. Halpern +1 · 1 citation
Computer Science · #Logic, Reasoning, and Knowledge #Bayesian Modeling and Causal Inference #AI-based Problem Solving and Planning
- Continuous Time Markov Networks
2012/06/27 by Tal El‐Hay, El-Hay, Tal, Nir Friedman +5 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #AI-based Problem Solving and Planning #Time Series Analysis and Forecasting