![]() ![]() ![]() FIXED Lion: Make sure items get properly sorted after adding new files into folder (issue). FIXED Lion: Asepsis feature implemented from scratch - needs testing! (issue). FIXED Lion: Fixed compatibility with Afloat and other SIMBL plugins which use jrswizzle library. NEW Alternative TotalFinder installation path may be specified via optional ini file (more info). NEW Applications and scripts may now ask Finder via AppleScript if TotalFinder has been loaded (more info). NEW TotalFinderCrashWatcher - a new improved way for reporting TotalFinder crashes. NEW It is possible to drag small tab icons (folder proxy icons) (issue). Learn a new language / help translate documents very clever crowdsourcing.Системные требования: Mac OS 10.7 и более новая "a unique translation tool combining an editorial dictionary and a search engine" Writing: pandoc, LyX, ShareLatex, LyX, ObsidianĮvents with one click), TotalFinder, SSHFS language tools linguee Languages: Julia, R, Matlab, Python, bash Work tools Ergonomics: standing desk, high chair, white boards If your problem is computationally intensive, consider learningĭistributed programming (GPU or cluster). Emacs users can use IRC by doing "M-x erc". Q&A sites for Math: mathoverflow, math.stackexchangeįor R, visit the #R channel on FreeNode ( IRC). Borri, editors, Working Notes for the CLEF 2004 Workshop, pages 91-98, 2004. de Rijke - The University of Amsterdam at CLEF 2004, In: C. Paliouras (Eds.), Proceedings of the international conference on User Modeling (LNAI 4511) (pp. Koedinger - Evaluating a Simulated Student using Real Students Data for Training and Testing, In C. ![]() Greer (Eds.), Proceedings of the international conference on Artificial Intelligence in Education (pp. Koedinger (2007) - Predicting students performance with SimStudent that learns cognitive skills from observation. In Proceedings of the International Conference on Intelligent Tutoring Systems. Koedinger (2008) - Why tutored problem solving may be better than example study: Theoretical implications from a simulated-student study. Mathematically trivial, but apparently original. Lacerda - Upper-Bounding Proof Length with the Busy Beaver (2008) - I derive an (uncomputable) upper bound on the length of the shortest proof of any given statement, as a function of the length of the statement and briefly discuss implications. This is useful when it may be the case that more than one, but not all error terms are Gaussian. How to intelligently combine LiNGAM with methods based on conditional independence tests. Shimizu - Causal discovery of linear acyclic models with arbitrary distributions Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI-2008) by Richardson's CCD), and allows us to relax the faithfulness assumption. Hoyer - Discovering Cyclic Causal Models by ICA (UAI2008), video lecture with slides) extends LiNGAM to discover cyclic models The non-Gaussian model leads to a finer level of identifiability than what can be achieved in the Gaussian case (e.g. Lacerda - Identification of gene modules using a generative model for relational data - UBC Master's thesis (2010), supervised by Jennifer Bryan. Capano - Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets Introduction to Machine Learning and Bayesian inference ( slides), 45 minutes. Introduction to Kolmogorov Complexity (with Liliana Salvador) ( slides), 45 minutes. ![]()
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