Koller_D: 74 documents, from the least to the most probable paper
Perplexity score: Title:
9056.771582 A Group and Session Management System for Distributed Multimedia Applications
7878.809485 An Integrated Global GIS and Visual Simulation System
6409.290395 Using Binocular Stereopsis for Vision-based Vehicle Control
6306.323854 A Game-Theoretic Classification of Interactive Complexity Classes
5341.701390 Asymptotic Conditional Probabilities for First-Order Logic
4907.073757 Evaluation of Movement Control Techniques for Immersive Virtual Environments
4153.298445 Efficient Computation of Equilibria for Extensive Two-Person Games
4127.546424 Real-Time, Continuous Level of Detail Rendering of Height Fields
4120.521185 Real-time Vision-Based Camera Tracking for Augmented Reality Applications
3891.631480 Towards Robust Automatic Traffic Scene Analysis in Real-Time
3855.988199 Rich Probabilistic Models for Gene Expression
3832.778268 Travel in Immersive Virtual Environments: An Evaluation of Viewpoint Motion Control Techniques
3784.010111 Bayes Optimal Hyperplanes -> Maximal Margin Hyperplanes
3621.803206 Automatic Symbolic Traffic Scene Analysis Using Belief Networks
3352.962060 Robust Multiple Car Tracking with Occlusion Reasoning
3315.152758 Real-Time, Continuous Level of Detail Rendering of Height Fields
3257.279721 A Logic for Approximate Reasoning
3115.780126 Probabilistic Models for Agents' Beliefs and Decisions
2960.500934 Model-Based Object Tracking in Monocular Image Sequences of Road Traffic Scenes
2953.490762 Nonuniform Dynamic Discretization in Hybrid Networks
2940.121395 Support Vector Machine Active Learning with Applications to Text Classification
2855.350283 Statistical Foundations for Default Reasoning
2740.027976 Hierarchically classifying documents using very few words
2725.590549 Using Probabilistic Information in Data Integration
2710.428640 Restricted Bayes Optimal Classifiers
2632.632925 Qualitative Planning under Assumptions: A Preliminary Report
2535.982181 Automated Camera Calibration and 3D Egomotion Estimation for Augmented Reality Applications
2337.950967 Forming Beliefs About a Changing World
2256.317652 Stochastic simulation algorithms for dynamic probabilistic networks
2135.409663 Exploiting the Architecture of Dynamic Systems
2079.518884 Multi-Agent Influence Diagrams for Representing and Solving Games
2060.119862 P-CLASSIC: A tractable probabilistic description logic
2046.481912 Policy Iteration for Factored MDPs
2021.411261 (De)randomized Construction of Small Sample Spaces in NC
1983.531594 Probabilistic Classification and Clustering in Relational Data
1855.234153 Irrelevance and Conditioning in First-Order Probabilistic Logic
1853.656894 Effective Bayesian Inference for Stochastic Programs
1853.476912 A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets
1771.372204 Moving Object Recognition and Classification based on Recursive Shape Parameter Estimation
1745.544014 Max-norm Projections for Factored MDPs
1733.346374 Tractable Inference for Complex Stochastic Processes
1731.654769 Learning the Structure of Utility Functions
1656.828550 From Instances to Classes in Probabilistic Relational Models
1626.736280 Semantics and Inference for Recursive Probability Models
1613.877456 SPOOK: A system for probabilistic object-oriented knowledge representation
1595.051744 Multiagent Planning with Factored MDPs
1553.872238 Bayesian Fault Detection and Diagnosis in Dynamic Systems
1509.576850 Constructing Small Sample Spaces Satisfying Given Constraints
1488.023061 Object-Oriented Bayesian Networks
1484.737904 Making Rational Decisions using Adaptive Utility Elicitation
1457.081018 Learning an Agent's Utility Function by Observing Behavior
1439.854385 Constructing Flexible Dynamic Belief Networks from First-Order Probabilistic Knowledge Bases
1435.313743 Generating and Solving Imperfect Information Games
1431.134882 Computing factored value functions for policies in structured MDPs
1426.019421 Learning probabilities for noisy first-order rules
1425.559571 Utilities as Random Variables: Density Estimation and Structure Discovery
1372.498219 Context-Specific Independence in Bayesian Networks
1331.574699 Representation Dependence in Probabilistic Inference
1307.218278 Discovering Hidden Variables: A Structure-Based Approach
1250.943899 Exact Inference in Networks with Discrete Children of Continuous Parents
1230.567764 Structured Representation of Complex Stochastic Systems
1177.870503 Probability Estimation in face of Irrelevant Information
1175.727176 Learning Probabilistic Relational Models with Structural Uncertainty
1115.342256 Probabilistic frame-based systems
1085.663654 Using learning for approximation in stochastic processes
1059.991569 Toward Optimal Feature Selection
1057.880515 Update rules for parameter estimation in Bayesian networks
1034.220156 Approximate Learning of Dynamic Models
1032.013011 Learning Probabilistic Relational Models
976.079113 Active Learning for Structure in Bayesian Networks
893.724189 Discovering the Hidden Structure of Complex Dynamic Systems
879.745292 Being Bayesian about Network Structure
756.111681 Active Learning for Parameter Estimation in Bayesian Networks
755.443348 Adaptive Probabilistic Networks with Hidden Variables