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» Learning conditional preference networks
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115
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ICML
2007
IEEE
16 years 1 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...
109
Voted
DAGSTUHL
2004
15 years 1 months ago
Adaptive Rich Media Presentations via Preference-Based Constrained Optimization
Personalization and adaptation of multi-media messages are well known and well studied problems. Ideally, each message should reflect its recipient's interests, device capabi...
Ronen I. Brafman, Doron A. Friedman
89
Voted
ESANN
2008
15 years 1 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher
111
Voted
ICPR
2002
IEEE
16 years 1 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
ICNP
2006
IEEE
15 years 6 months ago
Robust Path-Vector Routing Despite Inconsistent Route Preferences
— Some commonly used inter-domain-routing policies—e.g., those using BGP’s MED attribute for cold-potato routing—are beyond the scope of routing theory developed to date. T...
Aaron D. Jaggard, Vijay Ramachandran