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ACL
1998
15 years 5 months ago
Conditions on Consistency of Probabilistic Tree Adjoining Grammars
Much of the power of probabilistic methods in modelling language comes from their ability to compare several derivations for the same string in the language. An important starting...
Anoop Sarkar
ICML
2007
IEEE
16 years 4 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
DEDUCTIVE
1994
122views Database» more  DEDUCTIVE 1994»
15 years 5 months ago
A Simple Model for Active Rules and their Behavior in Deductive Databases
Recent advances in non-monotonic semantics of deductive databases provide a simple framework for modeling the even-condition-action rules of active databases. This approach unifie...
Carlo Zaniolo, Reza Sadri
128
Voted
KBSE
1998
IEEE
15 years 7 months ago
Identifying Pre-Conditions with the Z/EVES Theorem Prover
Starting from a graphical data model (a subset of the OMT object model), a skeleton of formal specification can be generated and completed to express several constraints and provi...
Yves Ledru
AAAI
2008
15 years 6 months ago
CRF-OPT: An Efficient High-Quality Conditional Random Field Solver
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
Minmin Chen, Yixin Chen, Michael R. Brent