[Research] Lab meeting: Wednesday March 24

[Karen Widmaier]

Just a reminder regarding the room for tomorrow's meeting will be GHC 6501
at noon.


-----Original Message-----
From: research-bounces at autonlab.org [mailto:research-bounces at autonlab.org]
On Behalf Of Artur Dubrawski
Sent: Sunday, March 21, 2010 9:37 AM
To: research at autonlab.org
Subject: Re: [Research] Lab meeting: Wednesday March 24

Of course I meant GHC not HBH.
I must be getting older or something :)

Artur Dubrawski wrote:
> The meeting has been moved to HBH 6501.
> Other parts of the plan remain unchanged.
>
> Artur
>
> Artur Dubrawski wrote:
>> Time: The First Wednesday of Spring, 12:00noon
>>
>> Place: NSH 1507 (Karen W. to confirm that)
>>
>> Speaker: David Anqi Cui
>>
>> Title: Active Learning Algorithms for Fast Drug Discovery
>>
>> Abstract:
>>
>> In this talk, I will show my work during the past six months. The
>> project is based on drug discovery which usually costs a lot of time
>> and money. Chemists have to do many experiments to screen useful
>> compounds. In this paper, we present active learning algorithms for
>> fast drug discovery. The algorithms decrease the number of experiments
>> required to find out the best performance compounds among plenty of
>> possible trials. The problem is a traditional exploration vs.
>> exploitation dilemma and our approach is based on the multi-armed
>> bandit problem and other function approximators. We propose the
>> expected improvement estimation as a method to measure the unknown
>> compounds. Some traditional models including UCB algorithms, Gaussian
>> process, regression trees and so on are also used for this problem.
>> Our results show that the algorithms present in this paper
>> significantly raise the best performance of compounds found within a
>> certain number of picks. The number of picks needed to first discover
>> the best compound are also reduced to about half of random method's
>> cost.
>>
>> See you all there!
>>
>> _______________________________________________
>> Research mailing list
>> Research at autonlab.org
>> https://www.autonlab.org/mailman/listinfo/research
>>
>>   
>
>

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