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Three-quarters thru Josh Tenenbaum's ICML 2007 lecture (Bayesian Models of Human Inductive Learning). So far, really intriguing; inductive biases are necessary for learning, strong inductive biases greatly facilitate learning from very few examples (remember the old Chomskyan question?) — and, best of all, inductive biases themselves (e.g. the Shape Bias) can be learned (he cited a rather spectacular result from developmental psychology: 17-month-olds who were trained on labelling [artificial] categories of things [e.g. "wibs" and "zubs"] for 2 months [only 20 mins/week, no worries] commanded roughly twice the real-world object name vocabulary compared with their control group - while the number of other words used was comparable). |
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GET YOUR MOVE ON ALMOST ALL ABOUT YOU So log in, fella — or finally get your langreiter.com account. You always wanted one. Nearby in the temporal dimension: Nobody. ... and 15 of the anonymous kind. Click on for a moderate dose of lcom-talk. This will probably not work in Lynx and other browser exotica. BACKLINKS 2007-09-23 RECENT EDITS (MORE) films-seen Blood Stone y!kes wet towel B Studio Pilcrow News Nastassja Kinski 2011-10-06-steve 2011-10-06 comment-2011-08-04-1 POWERED BY &c. GeoURL RSS 0.92 FRIENDLY SHOPS Uncut Games bei Gameware OFFEN! Offenlegung gem. §25 MedienG: Christian Langreiter, Langkampfen See also: Privacy policy. |