We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted trees... Watch Video
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We present a theoretically well-founded retrieval model for dynamically generating rankings based on interactive user feedback. Unlike conventional rankings that remain static after... Watch Video
The course will give an overview of how statistical learning can help organize and access information that is represented in textual form. In particular, it will cover tasks like... Watch Video
We present an online learning framework tailored towards real-time learning from observed user behavior in search engines and other information access systems. In particular, we only... Watch Video
Many systems, ranging from search engines to smart homes, aim to continually improve the utility they are providing to their users. While clearly a machine learning problem, it is... Watch Video
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