Spain

ECAI 2020

STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment

cautious inference

rule learning

relational learning

entailment

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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.

Item Response Theory to Estimate the Latent Ability of Speech Synthesizers

New computational models for the Choquet Integral

What makes a Better Companion? Towards Social & Engaging Peer Learning

Transformer-based Argument Mining for Healthcare Applications

Lifted Heuristics for Timeline-based Planning

Macro Operator Synthesis for ADL Domains

Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis

Reuse, Reduce and Recycle: Optimizing Reiter’s HS-Tree for Sequential Diagnosis

On Partial Multi-Task Learning

Toward Metrics for Differentiating Out-of-Distribution Sets

https://d3smihljt9218e.cloudfront.net/transcript/1135/subtitle/6eba2d6d2bb17907b8c569ea0b98fb40.vtt

English (automatic)

STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment

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Item Response Theory to Estimate the Latent Ability of Speech Synthesizers

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STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment

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Next from ECAI 2020

Item Response Theory to Estimate the Latent Ability of Speech Synthesizers

Similar lecture

Tree Learning: Optimal Algorithms and Sample Complexity

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