hunch_net hunch_net-2006 hunch_net-2006-214 knowledge-graph by maker-knowledge-mining

214 hunch net-2006-10-13-David Pennock starts Oddhead


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Introduction: his blog on information markets and other research topics .


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1 his blog on information markets and other research topics . [sent-1, score-2.063]


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[('markets', 0.659), ('topics', 0.504), ('blog', 0.462), ('information', 0.25), ('research', 0.188)]

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Introduction: his blog on information markets and other research topics .

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Introduction: One view of machine learning is that it’s about how to program computers to predict well. This suggests a broader research program centered around the more pervasive goal of simply predicting well. There are many distinct strands of this broader research program which are only partially unified. Here are the ones that I know of: Learning Theory . Learning theory focuses on several topics related to the dynamics and process of prediction. Convergence bounds like the VC bound give an intellectual foundation to many learning algorithms. Online learning algorithms like Weighted Majority provide an alternate purely game theoretic foundation for learning. Boosting algorithms yield algorithms for purifying prediction abiliity. Reduction algorithms provide means for changing esoteric problems into well known ones. Machine Learning . A great deal of experience has accumulated in practical algorithm design from a mixture of paradigms, including bayesian, biological, opt

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Introduction: It’s been almost two years since this blog began. In that time, I’ve learned enough to shift my expectations in several ways. Initially, the idea was for a general purpose ML blog where different people could contribute posts. What has actually happened is most posts come from me, with a few guest posts that I greatly value. There are a few reasons I see for this. Overload . A couple years ago, I had not fully appreciated just how busy life gets for a researcher. Making a post is not simply a matter of getting to it, but rather of prioritizing between {writing a grant, finishing an overdue review, writing a paper, teaching a class, writing a program, etc…}. This is a substantial transition away from what life as a graduate student is like. At some point the question is not “when will I get to it?” but rather “will I get to it?” and the answer starts to become “no” most of the time. Feedback failure . This blog currently receives about 3K unique visitors per day from

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