Case-factor diagrams for structured probabilistic modeling

[1]  Giorgio Satta,et al.  New developments in parsing technology , 2004 .

[2]  Ben Taskar,et al.  Max-Margin Markov Networks , 2003, NIPS.

[3]  Toniann Pitassi,et al.  Algorithms and complexity results for #SAT and Bayesian inference , 2003, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings..

[4]  Thomas Hofmann,et al.  Large margin methods for label sequence learning , 2003, INTERSPEECH.

[5]  Toniann Pitassi,et al.  Value Elimination: Bayesian Interence via Backtracking Search , 2002, UAI.

[6]  David Allen,et al.  New Advances in Inference by Recursive Conditioning , 2002, UAI.

[7]  Adnan Darwiche,et al.  A differential approach to inference in Bayesian networks , 2000, JACM.

[8]  Adnan Darwiche,et al.  Uncertainty in artificial intelligence : proceedings of the nineteenth conference (2003), August 7-10, 2003, Acapulco, Mexico , 2003 .

[9]  Jason Eisner,et al.  Parameter Estimation for Probabilistic Finite-State Transducers , 2002, ACL.

[10]  Manfred Jaeger,et al.  Probabilistic Decision Graphs - Combining Verification And Ai Techniques For Probabilistic Inference , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[11]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[12]  Adnan Darwiche,et al.  Recursive conditioning , 2001, Artif. Intell..

[13]  Michael Collins,et al.  Parameter Estimation for Statistical Parsing Models: Theory and Practice of , 2001, IWPT.

[14]  Lise Getoor,et al.  Learning Probabilistic Relational Models , 1999, IJCAI.

[15]  Sean R. Eddy,et al.  Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids , 1998 .

[16]  Peter N. Yianilos,et al.  Learning String-Edit Distance , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  John D. Lafferty,et al.  Inducing Features of Random Fields , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Craig Boutilier,et al.  Context-Specific Independence in Bayesian Networks , 1996, UAI.

[19]  Stuart J. Russell,et al.  Stochastic simulation algorithms for dynamic probabilistic networks , 1995, UAI.

[20]  Kenneth L. McMillan Hierarchical Representations of Discrete Functions, with Application to Model Checking , 1994, CAV.

[21]  David Poole,et al.  Probabilistic Horn Abduction and Bayesian Networks , 1993, Artif. Intell..

[22]  Shin-ichi Minato,et al.  Zero-Suppressed BDDs for Set Manipulation in Combinatorial Problems , 1993, 30th ACM/IEEE Design Automation Conference.

[23]  Hans L. Bodlaender,et al.  A linear time algorithm for finding tree-decompositions of small treewidth , 1993, STOC.

[24]  Randal E. Bryant,et al.  Graph-Based Algorithms for Boolean Function Manipulation , 1986, IEEE Transactions on Computers.