The recognition is for a 2005 paper titled “Agnostically Learning Halfspaces,” which Klivans co-authored with Adam Tauman Kalai (TTI-Chicago), Yishay Mansour (Tel Aviv University), and Rocco A.
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New software could reduce dependency on big data centers for AI
EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...
When scientists test algorithms that sort or classify data they often turn to a trusted tool called Normalized Mutual ...
Microsoft is killing off an obsolete and vulnerable encryption cipher that Windows has supported by default for 26 years ...
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