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Daphne Koller

  1. The Genotype-Tissue Expression (GTEx) project
    2013/05/29 by John Lonsdale, Jeffrey Thomas, Mike Salvatore +124 · 42 citations
  2. Context-Specific Independence in Bayesian Networks
    2013/02/13 by Craig Boutilier, Nir Friedman, Boutilier, Craig +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
  3. Tractable Inference for Complex Stochastic Processes
    2013/01/30 by Xavier Boyen, Daphne Koller, Boyen, Xavier +1 · 6 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning and Algorithms
  4. Continuous Time Bayesian Networks
    2012/12/12 by Uri Nodelman, Christian R. Shelton, Nodelman, Uri +3 · 5 citations
    Computer Science · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge
  5. Projected Subgradient Methods for Learning Sparse Gaussians
    2012/06/13 by John C. Duchi, Duchi, John, Stephen J. Gould +3 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Residual Belief Propagation: Informed Scheduling for Asynchronous\n Message Passing
    2012/06/27 by Gal Elidan, Elidan, Gal, Ian McGraw +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Error Correcting Code Techniques #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
  7. Discriminative Probabilistic Models for Relational Data
    2012/12/12 by Ben Taskar, Pieter Abbeel, Taskar, Ben +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Learning Factor Graphs in Polynomial Time & Sample Complexity
    2012/07/04 by Pieter Abbeel, Abbeel, Pieter, Daphne Koller +3 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  9. 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
  10. Discovering shared and individual latent structure in multiple time series
    2010/08/12 by Suchi Saria, Daphne Koller, Saria, Suchi +3 · 1 citation
    Computer Science · #Bayesian Methods and Mixture Models #Time Series Analysis and Forecasting #Gaussian Processes and Bayesian Inference