Spain

ECAI 2020

Accounting for Observer’s Partial Observability in Stochastic Goal Recognition Design: Messing with the Marauder’s Map

stochastic environments

partial observability

goal recognition design

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

technical paper

Learning Conjunctive Information   of Signals in Multi-sensor Systems

Tree search for the Sequential Ordering Problem

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

Multi-Stage Transfer Learning with an Application to Selection Process

Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features

Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference template-based Information Extraction

On Measuring Inconsistency in Relational Databases with Denial Constraints

Classifying the classifier: dissecting the weight space of neural networks

Is hardness inherent in computational problems? Performance of human and electronic computers on random instances of the 0-1 knapsack problem.

A Multilayered Informative Random Walk for Attributed Social Network Embedding

https://d3smihljt9218e.cloudfront.net/transcript/1182/subtitle/b93e7a67d7b1863159236c5c0d6b6360.vtt

English (automatic)

Accounting for Observer’s Partial Observability in Stochastic Goal Recognition Design: Messing with the Marauder’s Map

Downloads

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Learning Conjunctive Information of Signals in Multi-sensor Systems

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Monte Carlo Information-Oriented Planning

Accounting for Observer’s Partial Observability in Stochastic Goal Recognition Design: Messing with the Marauder’s Map

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Next from ECAI 2020

Learning Conjunctive Information of Signals in Multi-sensor Systems

Similar lecture

Monte Carlo Information-Oriented Planning

Downloads