Main

processing priority

3

site type

5 (wiki-type site, growing by topic rather than chronologically)

review version

11

html import

20 (imported)

Events

first seen date

2024-08-23 19:42:12

expired found date

-

created at

2024-08-23 19:42:12

updated at

2026-01-12 22:29:36

Domain name statistics

length

23

crc

46409

tld

86

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

87719371 (github.io)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

22508

mp size raw text

2568

mp inner links count

4

mp inner links status

10 (links queued, awaiting import)

Open Graph

title

description

image

site name

author

New Frontiers in Learning, Control, and Dynamical Systems

updated

2026-03-03 12:38:36

raw text

New Frontiers in Learning, Control, and Dynamical Systems Toggle navigation About (current) Accepted Paper Schedule Call for Papers New Frontiers in Learning, Control, and Dynamical Systems Workshop at the International Conference on Machine Learning (ICML) 2023 Recent advances in algorithmic design and principled, theory-driven deep learning architectures have sparked a growing interest in control and dynamical system theory. Complementary, machine learning plays an important role in enhancing existing control theory algorithms in terms of performance and scalability. The boundaries between both disciplines are blurring even further with the rise of modern reinforcement learning, a field at the crossroad of data-driven control theory and machine learning. This workshop aims to unravel the mutual relationship between learning, control, and dynamical systems and to shed light on recent parallel developments in different communities. Strengthening the connection betw...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Zastosowania AI (149)

index version

1

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

1893

text words

319

text unique words

201

text lines

64

text sentences

14

text paragraphs

2

text words per sentence

22

text matched phrases

0

text matched dictionaries

0

RSS

rss path

rss status

1 (priority 1 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

40 (completed successful import of reports.txt file to table in_pages)

sitemap review version

2

sitemap urls count

9

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2024-09-20 12:42:36

sitemap process date

2024-09-20 12:42:36

sitemap first import date

-

sitemap last import date

2026-01-12 22:29:36