Cs-Ai
On the Effect of Connectedness for Biobjective Multiple and Long Path Problems
On Bayesian Network Approximation by Edge Deletion
Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences
Unsupervised Activity Discovery and Characterization From Event-Streams
Robust Probabilistic Inference in Distributed Systems
A Unified framework for order-of-magnitude confidence relations
An Intelligent Approach for Negotiating between chains in Supply Chain Management Systems
Analysis of a Nature Inspired Firefly Algorithm based Back-propagation Neural Network Training
Efficient Inference in Markov Control Problems
The RegularGcc Matrix Constraint
Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks
Order-of-Magnitude Influence Diagrams
Fuzzy approaches to context variable in fuzzy geographically weighted clustering
Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories
(weak) Calibration is Computationally Hard
Multi-Level Error-Resilient Neural Networks with Learning
Explanation Trees for Causal Bayesian Networks
Possibilistic Pertinence Feedback and Semantic Networks for Goals Extraction
Survey Propagation Revisited
Exhaustive Search-based Model for Hybrid Sensor Network