Chickering, David Maxwell
- Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
2013/02/27 by David Heckerman, Heckerman, David, Dan Geiger +3 · 27 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Rough Sets and Fuzzy Logic
- Learning Equivalence Classes of Bayesian Networks Structures
2013/02/13 by David Maxwell Chickering, Chickering, David Maxwell · 14 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)
- Large-Sample Learning of Bayesian Networks is NP-Hard
2012/10/19 by David Maxwell Chickering, Christopher Meek, Chickering, David Maxwell +3 · 13 citations
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Machine Learning and Algorithms
- A Transformational Characterization of Equivalent Bayesian Network Structures
2013/02/20 by David Maxwell Chickering, Chickering, David Maxwell · 13 citations
Computer Science · #Bayesian Modeling and Causal Inference #Cognitive Science and Mapping
- Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations
2015/06/06 by David Maxwell Chickering, Christopher Meek, Chickering, David Maxwell +1 · 4 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Management and Algorithms #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Bayesian Approach to Tackling Hard Computational Problems
2013/01/10 by Eric Horvitz, Horvitz, Eric J., Yongshao Ruan +9 · 4 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Constraint Satisfaction and Optimization #FOS: Computer and information sciences
- Learning Mixtures of DAG Models
2013/01/30 by Bo Thiesson, Christopher Meek, Thiesson, Bo +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Using Temporal Data for Making Recommendations
2013/01/10 by Zimdars, Andrew, Chickering, David Maxwell, Meek, Christopher · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Finding Optimal Bayesian Networks
2012/12/12 by Chickering, David Maxwell, Meek, Christopher · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Fast Learning from Sparse Data
2013/01/23 by David Maxwell Chickering, David Heckerman, Chickering, David Maxwell +1 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #Data Management and Algorithms #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)