Dan Geiger

According to our database1, Dan Geiger authored at least 77 papers between 1988 and 2021.

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Bibliography

2021
Likelihoods and Parameter Priors for Bayesian Networks.
CoRR, 2021

Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions.
CoRR, 2021

2016
Dependence and Relevance: A probabilistic view.
CoRR, 2016

2013
Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (1997)
CoRR, 2013

Practical and Theoretical Advances in Knowledge Acquisition of Probabilistic Networks
CoRR, 2013

Graphical Models and Exponential Families
CoRR, 2013

Likelihood Computations Using Value Abstractions
CoRR, 2013

A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees.
Bioinform., 2013

2011
Automatic boosting of cross-product coverage using Bayesian networks.
Int. J. Softw. Tools Technol. Transf., 2011

Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA.
J. Comput. Biol., 2011

Integration of SNP genotyping confidence scores in IBD inference.
Bioinform., 2011

2010
Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping.
Bioinform., 2010

2009
Inferring Ancestries Efficiently in Admixed Populations with Linkage Disequilibrium.
J. Comput. Biol., 2009

Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space.
Bioinform., 2009

GridBot: execution of bags of tasks in multiple grids.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2008
Variational Upper and Lower Bounds for Probabilistic Graphical Models.
J. Comput. Biol., 2008

Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information.
Proceedings of the Research in Computational Molecular Biology, 2008

Efficient computation of sum-products on GPUs through software-managed cache.
Proceedings of the 22nd Annual International Conference on Supercomputing, 2008

2007
Estimation of flows in flow networks.
Eur. J. Oper. Res., 2007

Importance Sampling via Variational Optimization.
Proceedings of the UAI 2007, 2007

Variational Upper Bounds for Probabilistic Phylogenetic Models.
Proceedings of the Research in Computational Molecular Biology, 2007

2006
A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints.
J. Artif. Intell. Res., 2006

Scheduling Mixed Workloads in Multi-grids: The Grid Execution Hierarchy.
Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, 2006

A Distributed System for Genetic Linkage Analysis.
Proceedings of the Distributed, 2006

2005
Asymptotic Model Selection for Naive Bayesian Networks.
J. Mach. Learn. Res., 2005

Finding Approximate Tandem Repeats in Genomic Sequences.
J. Comput. Biol., 2005

Structured Variational Inference Procedures and their Realizations.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Model-Based Inference of Haplotype Block Variation.
J. Comput. Biol., 2004

Optimizing Exact Genetic Linkage Computations.
J. Comput. Biol., 2004

Efficient approximations for learning phylogenetic HMM models from data.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

High density linkage disequilibrium mapping using models of haplotype block variation.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

2003
Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models.
Proceedings of the UAI '03, 2003

A Distance-Based Branch and Bound Feature Selection Algorithm.
Proceedings of the UAI '03, 2003

2002
Factorization of Discrete Probability Distributions.
Proceedings of the UAI '02, 2002

Exact genetic linkage computations for general pedigrees.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

2001
A sufficiently fast algorithm for finding close to optimal clique trees.
Artif. Intell., 2001

On Parameter Priors for Discrete DAG Models.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
Randomized Algorithms for the Loop Cutset Problem.
J. Artif. Intell. Res., 2000

Likelihood Computations Using Value Abstraction.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Perfect Tree-like Markovian Distributions.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

1999
Mass Estimation of DNA Molecules and Extraction of Ordered Restriction Maps in Optical Mapping Imagery.
Algorithmica, 1999

Quantifier Elimination for Statistical Problems.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Random Algorithms for the Loop Cutset Problem.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Density-Based Indexing for Approximate Nearest-Neighbor Queries.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

On the geometry of DAG models with hidden variables.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998
Probabilistic relevance relations.
IEEE Trans. Syst. Man Cybern. Part A, 1998

Approximation Algorithms for the Feedback Vertex Set Problem with Applications to Constraint Satisfaction and Bayesian Inference.
SIAM J. Comput., 1998

Graphical Models and Exponential Families.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Asymptotic Model Selection for Directed Networks with Hidden Variables.
Proceedings of the Learning in Graphical Models, 1998

1997
Bayesian Network Classifiers.
Mach. Learn., 1997

A Practical Algorithm for Finding Optimal Triangulations.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets.
Artif. Intell., 1996

Optimization of Pearl's Method of Conditioning and Greedy-Like Approximation Algorithms for the Vertex Feedback Set Problem.
Artif. Intell., 1996

Asymptotic Model Selection for Directed Networks with Hidden Variables.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

A sufficiently fast algorithm for finding close to optimal junction trees.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
Word-level recognition of small sets of hand-written words.
Pattern Recognit. Lett., 1995

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data.
Mach. Learn., 1995

On Finding a Cycle Basis with a Shortest Maximal Cycle.
Inf. Process. Lett., 1995

Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

1994
On Testing Whether an Embedded Bayesian Network Represents a Probability Model.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Learning Gaussian Networks.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Approximation Algorithms for the Loop Cutset Problem.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

Approximation Algorithms for the Vertex Feedback Set Problem with Applications to Constraint Satisfaction and Bayesian Inference.
Proceedings of the Fifth Annual ACM-SIAM Symposium on Discrete Algorithms. 23-25 January 1994, 1994

1993
Inference Algorithms for Similarity Networks.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

1992
An Entropy-based Learning Algorithm of Bayesian Conditional Trees.
Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991
Axioms and Algorithms for Inferences Involving Probabilistic Independence
Inf. Comput., March, 1991

Advances in Probabilistic Reasoning.
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991

Optimal Satisficing Tree Searches.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990
Identifying independence in bayesian networks.
Networks, 1990

Logical and algorithmic properties of independence and their application to Bayesian networks.
Ann. Math. Artif. Intell., 1990

separable and transitive graphoids.
Proceedings of the UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1990

Learning Causal Trees from Dependence Information.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989
Conditional independence and its representations.
Kybernetika, 1989

d-Separation: From Theorems to Algorithms.
Proceedings of the UAI '89: Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence, 1989

1988
On the logic of causal models.
Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988


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