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Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Research topics in e-discovery

Dr. Dave Lewis is visiting us in Melbourne on a short sabbatical, and yesterday he gave an interesting talk at RMIT University on research topics in e-discovery. We also had Dr. Paul Hunter, Principal Research Scientist at FTI Consulting, in the audience, as well as research academics from RMIT and the University of Melbourne, including […] → Read More: Research topics in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Random vs active selection of training examples in e-discovery

The problem with agreeing to teach is that you have less time for blogging, and the problem with a hiatus in blogging is that the topic you were in the middle of discussing gets overtaken by questions of more immediate interest. I hope to return to the question of simulating assessor error in a later […] → Read More: Random vs active selection of training examples in e-discovery

Can you train a useful model with incorrect labels?

We, in this blog, are in the middle of a series of simulation experiments on the effect of assessor error on text classifier reliability. There’s still some way to go with these experiments, but in the mean time the topic has attracted some attention on the blogosphere. Ralph Losey has forcefully re-iterated his characterization of […] → Read More: Can you train a useful model with incorrect labels?

Can you train a useful model with incorrect labels?

We, in this blog, are in the middle of a series of simulation experiments on the effect of assessor error on text classifier reliability. There’s still some way to go with these experiments, but in the mean time the topic has attracted some attention on the blogosphere. Ralph Losey has forcefully re-iterated his characterization of […] → Read More: Can you train a useful model with incorrect labels?