Spain

ECAI 2020

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

knapsack problem

human problem solving

phase transition

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. The program featured plenary speakers, sessions, workshops and many special activities.

For more information please visit the 2020 AAPT Virtual Summer Meeting page at: https://www.aapt.org/Conferences/SM2020/index.cfm.


AAPT SM 20

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. 

technical paper

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.

A Multilayered Informative Random Walk for Attributed Social Network Embedding

Semantics of negative sequential patterns

Maximum Entropy Reinforced Single Object Visual Tracking

Preprocessing in Incomplete MaxSAT Solving

Resilient Distributed Constraints Optimization in Physical Multi-Agent Systems

Committee Selection with Multimodal Preferences

Consolidating Modal Knowledge Bases

Finding Quantum Critical Points with Neural-Network Quantum States

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

Necessary and Sufficient Conditions for Actual Root Causes

https://d3smihljt9218e.cloudfront.net/transcript/1193/subtitle/df85b29c811b609db92b086cc651613c.vtt

English (automatic)

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A Multilayered Informative Random Walk for Attributed Social Network Embedding

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Next from ECAI 2020

A Multilayered Informative Random Walk for Attributed Social Network Embedding

Similar lecture

A van der Waals Phase Transition in a Compact Star

Stay up to date with the latest Underline news!

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COMPANY

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