Integrating kNN Retrieval with Inference on Graphical Models in Case-Based Reasoning.
Luigi PortinalePublished in: ICCBR (2024)
Keyphrases
- graphical models
- knn
- case based reasoning
- k nearest neighbor
- probabilistic inference
- exact inference
- map inference
- belief propagation
- factor graphs
- belief networks
- bayesian networks
- nearest neighbor
- statistical inference
- undirected graphical models
- loopy belief propagation
- probabilistic model
- approximate inference
- efficient inference algorithms
- structure learning
- probabilistic graphical models
- nonparametric belief propagation
- knn algorithm
- distance function
- information retrieval
- k nearest neighbour
- conditional random fields
- text classification
- directed graphical models
- markov networks
- possibilistic networks
- text categorization
- classification algorithm
- relational dependency networks
- message passing
- graphical structure
- similarity search
- markov logic networks
- statistical relational learning
- support vector machine
- neural network
- bayesian inference
- image retrieval
- support vector
- knn classifier
- probabilistic reasoning
- inference process
- structured prediction
- feature space
- range queries
- feature selection
- relational data