User:Lfriedl - Revision history

Lfriedl: added contact info

2008-06-03T06:38:40Z

added contact info

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			Quick: contact info--lfriedl@cs.umass.edu, (413) 575-4995.

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	I'm a PhD student in Computer Science at the University of Massachusetts Amherst. I work on data mining / machine learning -- i.e., given some large body of data, how do we analyze it, find dependencies, identify interesting patterns, and make predictions? In particular, [http://kdl.cs.umass.edu my lab] works with data sets that have a network structure, such as movies and their actors, papers and their writers, cellular proteins and their interactions, or stockbrokers and their firms. As for the relation to complex systems research, I'm most interested in models of graph structure.		I'm a PhD student in Computer Science at the University of Massachusetts Amherst. I work on data mining / machine learning -- i.e., given some large body of data, how do we analyze it, find dependencies, identify interesting patterns, and make predictions? In particular, [http://kdl.cs.umass.edu my lab] works with data sets that have a network structure, such as movies and their actors, papers and their writers, cellular proteins and their interactions, or stockbrokers and their firms. As for the relation to complex systems research, I'm most interested in models of graph structure.

Lfriedl at 15:35, 7 May 2008

2008-05-07T15:35:41Z

← Older revision		Revision as of 15:35, 7 May 2008
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	'''Expertise'''		'''Expertise'''

	From computer science: writing algorithms to be efficient. (And, more of a background in discrete/combinatorial problems than in continuous systems like diff eqs.)		From computer science: writing algorithms to be efficient. (And, more of a background in discrete/combinatorial problems than in continuous systems like diff eqs.) I can build you a mysql database or a solid java program, but mostly I prefer writing quick scripts in perl (or python, or R).

	From machine learning: exposure (maybe "expertise" is pushing it) to statistical methods, such as "graphical models" describing how systems of variables depend on each other, and ideas like likelihood ratio tests, Bayesian methods, bias/variance tradeoff, avoiding overfitting through separate training & test data, permutation tests, etc.		From machine learning: exposure (maybe "expertise" is pushing it) to statistical methods, such as "graphical models" describing how systems of variables depend on each other, and ideas like likelihood ratio tests, estimating/learning the parameters of a distribution, Bayesian methods, bias/variance tradeoff, avoiding overfitting through separate training & test data, permutation tests, etc.

	From data mining: noticing that this problem in this one field has the same structure as that problem in that other field.		From data mining: noticing that this problem in this one field has the same structure as that problem in that other field.

Lfriedl: answered "the four" questions

2008-05-04T00:12:12Z

answered "the four" questions

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 I'm a PhD student in Computer Science at the University of Massachusetts Amherst.  I work on data mining / machine learning -- i.e., given some large body of data, how do we analyze it, find dependencies, identify interesting patterns, and make predictions?  In particular, [http://kdl.cs.umass.edu my lab] works with data sets that have a network structure, such as movies and their actors, papers and their writers, cellular proteins and their interactions, or stockbrokers and their firms.  As for the relation to complex systems research, I'm most interested in models of graph structure.
 I've been intrigued by SFI ever since I read the book [http://www.amazon.com/Complexity-Emerging-Science-Order-Chaos/dp/0671872346/ Complexity] about 9 years ago, so I'm excited to have the opportunity to attend the summer school!

Lfriedl: LDF user page

2008-03-10T18:16:13Z

LDF user page

← Older revision		Revision as of 18:16, 10 March 2008
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	~~I'm a PhD student in Computer Science at the University of Massachusetts Amherst. I work on data mining / machine learning~~ -- i.~~e., given some large body of data, how do we analyze it, find dependencies, identify interesting patterns, and make predictions? In particular, [http://kdl.cs.umass.edu my lab~~] works with data sets that have a network structure, such as movies and their actors, papers and their writers, cellular proteins and their interactions, or stockbrokers and their firms. In terms of complex systems, I'm most interested in models of graph structure.		[[Image:LDF-March1-08.jpg \|left]]

	I've been intrigued by SFI ever since I read the book [http://www.amazon.com/Complexity-Emerging-Science-Order-Chaos/dp/0671872346/ Complexity] about 9 years ago, ~~and~~ I'm excited to have the opportunity to ~~visit~~!		I'm a PhD student in Computer Science at the University of Massachusetts Amherst. I work on data mining / machine learning -- i.e., given some large body of data, how do we analyze it, find dependencies, identify interesting patterns, and make predictions? In particular, [http://kdl.cs.umass.edu my lab] works with data sets that have a network structure, such as movies and their actors, papers and their writers, cellular proteins and their interactions, or stockbrokers and their firms. As for the relation to complex systems research, I'm most interested in models of graph structure.

			I've been intrigued by SFI ever since I read the book [http://www.amazon.com/Complexity-Emerging-Science-Order-Chaos/dp/0671872346/ Complexity] about 9 years ago, so I'm excited to have the opportunity to attend the summer school!

Lfriedl at 17:51, 10 March 2008

2008-03-10T17:51:04Z

New page

I'm a PhD student in Computer Science at the University of Massachusetts Amherst. I work on data mining / machine learning -- i.e., given some large body of data, how do we analyze it, find dependencies, identify interesting patterns, and make predictions? In particular, [http://kdl.cs.umass.edu my lab] works with data sets that have a network structure, such as movies and their actors, papers and their writers, cellular proteins and their interactions, or stockbrokers and their firms. In terms of complex systems, I'm most interested in models of graph structure.

I've been intrigued by SFI ever since I read the book [http://www.amazon.com/Complexity-Emerging-Science-Order-Chaos/dp/0671872346/ Complexity] about 9 years ago, and I'm excited to have the opportunity to visit!