Kml --

 

About Kml

Welcome to the research group Knowledge Representation and Machine Learning (KML, pronounce: 'camel'). We conduct research at the interface between human knowledge and machine learning. Our key questions are: How can we improve machine learning with human prior knowledge? How can we make machine learning models and decisions understandable for humans? And: How can we use machine learning to increase human knowledge? To make human knowledge machine-readable, we represent human knowledge as structured data, such as grammars and knowledge graphs.

To see the collection of prior postings to the list, visit the Kml Archives. (The current archive is only available to the list members.)

Using Kml
To post a message to all the list members, send email to kml@lists.techfak.uni-bielefeld.de.

You can subscribe to the list, or change your existing subscription, in the sections below.

Subscribing to Kml

Subscribe to Kml by filling out the following form. You will be sent email requesting confirmation, to prevent others from gratuitously subscribing you. This is a private list, which means that the list of members is not available to non-members.

    Your email address:  
    Your name (optional):  
    You may enter a privacy password below. This provides only mild security, but should prevent others from messing with your subscription. Do not use a valuable password as it will occasionally be emailed back to you in cleartext.

    If you choose not to enter a password, one will be automatically generated for you, and it will be sent to you once you've confirmed your subscription. You can always request a mail-back of your password when you edit your personal options.
    Pick a password:  
    Reenter password to confirm:  
    Which language do you prefer to display your messages?  
    Would you like to receive list mail batched in a daily digest? No Yes
Kml Subscribers
(The subscribers list is only available to the list members.)

Enter your address and password to visit the subscribers list:

Address: Password:   

To unsubscribe from Kml, get a password reminder, or change your subscription options enter your subscription email address:

If you leave the field blank, you will be prompted for your email address


Kml list run by max.gehle at uni-bielefeld.de
Kml administrative interface (requires authorization)
Overview of all lists.techfak.uni-bielefeld.de mailing lists

Delivered by Mailman
version 2.1.23
Python Powered GNU's Not Unix