https://pinboard.in/u:Vaguery/public/ recent bookmarks from Vaguery 2026-05-24T10:59:46+00:00 https://arxiv.org/abs/2410.04480 Vaguery ARC machine-learning genetic-programming neural-networks program-synthesis learning-from-data artificial-intelligence rather-interesting hey-I-know-this-guy https://pinboard.in/ https://pinboard.in/u:Vaguery/b:5ba29e7a72c7/ 2026-04-26T12:32:02+00:00 https://www.science.org/doi/10.1126/science.adv7924 Vaguery structural-biology machine-learning bioinformatics indistinguishable-from-magic learning-from-data to-understand https://pinboard.in/ https://pinboard.in/u:Vaguery/b:d94701a9a214/ 2024-07-10T13:41:50+00:00 https://arxiv.org/abs/2107.08013 Vaguery materials-science learning-from-data genetic-programming symbolic-regression machine-learning rather-interesting clustering pattern-discovery https://pinboard.in/ https://pinboard.in/u:Vaguery/b:af6a41ae0e59/ 2022-04-19T10:30:54+00:00 https://arxiv.org/abs/2102.02365 Vaguery approximation inverse-problems rather-interesting learning-from-data nonlinear-dynamics online-learning to-understand statistics https://pinboard.in/ https://pinboard.in/u:Vaguery/b:3fa7289011de/ 2021-10-31T11:05:48+00:00 https://arxiv.org/abs/2003.01943 Vaguery machine-learning manufacturing materials-science rather-interesting learning-from-data to-read https://pinboard.in/ https://pinboard.in/u:Vaguery/b:55704138e300/ 2021-10-22T10:37:33+00:00 https://arxiv.org/abs/2010.11831 Vaguery symbolic-regression genetic-programming learning-from-data fluid-dynamics rather-interesting nonlinear-dynamics to-write-about consider:representation consider:rediscovery https://pinboard.in/ https://pinboard.in/u:Vaguery/b:19ae5ae3a8af/ 2020-12-05T01:11:57+00:00 https://arxiv.org/abs/2012.02179 Vaguery1, and even when successful, a reconstruction of the elementary rule (t=1) from t>1 data is not within the scope of what the neural network can deliver. We describe an alternative network-like method, based on constraint projections, where this is possible. From a single data item this method perfectly reconstructs not just the automaton rule but also the states in the time steps it did not see. For a unique reconstruction, the size of the initial state need only be large enough that it and the t−1 states it evolves into contain all possible automaton input patterns. We demonstrate the method on 1D binary cellular automata that take inputs from n adjacent cells. The unknown rules in our experiments are not restricted to simple rules derived from a few linear functions on the inputs (as in Game of Life), but include all 22n possible rules on n inputs. Our results extend to n=6, for which exhaustive rule-search is not feasible. By relaxing translational symmetry in space and also time, our method is attractive as a platform for the learning of binary data, since the discreteness of the variables does not pose the same challenge it does for gradient-based methods. ]]> via:cshalizi cellular-automata prediction learning-from-data rather-interesting robustness inference to-write-about consider:representation to-simulate https://pinboard.in/ https://pinboard.in/u:Vaguery/b:1a035887ab30/ 2019-09-22T12:05:29+00:00 https://arxiv.org/abs/1908.02894 Vaguery machine-learning looking-to-see learning-from-data rather-interesting to-write-about to-simulate consider:performance-measures consider:lexicase consider:symbolic-regression https://pinboard.in/ https://pinboard.in/u:Vaguery/b:275778e41fa8/ 2019-02-05T11:45:34+00:00 https://arxiv.org/abs/1808.06423 Vaguery artificial-intelligence feature-construction learning-from-data rather-interesting to-write-about consider:looking-to-see https://pinboard.in/ https://pinboard.in/u:Vaguery/b:1333d51fe74f/ 2018-11-18T13:46:14+00:00 https://www.microsoft.com/en-us/research/publication/automating-string-processing-spreadsheets-using-input-output-examples/ Vaguery learning-from-data microsoft software-synthesis rather-interesting pattern-discovery to-write-about https://pinboard.in/ https://pinboard.in/u:Vaguery/b:201a3ea0697e/ 2018-08-07T10:39:15+00:00 https://projecteuclid.org/euclid.aos/1176325360 Vaguery statistics learning-from-data algorithms existence-proof consider:looking-to-see to-write-about nudge-targets via:cshalizi https://pinboard.in/ https://pinboard.in/u:Vaguery/b:929d3ba7c032/ 2017-08-14T13:13:32+00:00 https://arxiv.org/abs/1703.05105 Vaguery OCR neural-networks image-processing page-structure learning-from-data rather-interesting algorithms machine-learning feature-extraction nudge-targets consider:looking-to-see https://pinboard.in/ https://pinboard.in/u:Vaguery/b:8d8df90b8562/ 2017-08-07T11:24:37+00:00 https://arxiv.org/abs/1704.08676 Vaguery learning-from-data machine-learning statistics algorithms rather-interesting inference nudge-targets consider:looking-to-see consider:representation https://pinboard.in/ https://pinboard.in/u:Vaguery/b:64171189960c/ 2017-05-09T16:02:22+00:00 https://arxiv.org/abs/1104.5557 Vaguery via:arthegall data-analysis matrices feature-extraction learning-from-data data-mining rather-interesting to-read to-understand https://pinboard.in/ https://pinboard.in/u:Vaguery/b:39273ba6e6fb/ 2017-04-26T11:39:39+00:00 https://arxiv.org/abs/1703.05210 Vaguery machine-learning learning-from-data unsupervised-learning rather-interesting information-theory to-write-about nudge-targets consider:robustness https://pinboard.in/ https://pinboard.in/u:Vaguery/b:92a40590865b/ 2017-04-23T10:46:19+00:00 https://arxiv.org/abs/1308.0419 Vaguery grammar L-systems generative-models image-processing learning-from-data machine-learning inverse-problems nudge-targets consider:representation consider:feature-discovery https://pinboard.in/ https://pinboard.in/u:Vaguery/b:7c0dd60c4f76/ 2017-02-28T12:21:52+00:00 https://arxiv.org/abs/1609.08455 Vaguery neural-networks metaheuristics materials-science rather-interesting learning-from-data empirical-models to-write-about nudge-targets consider:feature-discovery consider:representation consider:interpretability https://pinboard.in/ https://pinboard.in/u:Vaguery/b:9144b5d5821e/ 2017-02-27T01:31:46+00:00 http://link.springer.com/chapter/10.1007/978-3-642-03798-6_28 Vaguery archetypal-analysis dimension-reduction learning-from-data machine-learning algorithms rather-interesting to-write-about https://pinboard.in/ https://pinboard.in/u:Vaguery/b:d3551f0801e9/ 2017-02-26T12:33:44+00:00 https://arxiv.org/abs/1702.02680 Vaguery image-processing superresolution rather-interesting inference learning-from-data algorithms nudge-targets consider:feature-discovery consider:looking-to-see https://pinboard.in/ https://pinboard.in/u:Vaguery/b:9233f0754a0b/ 2017-02-23T22:13:41+00:00 https://arxiv.org/abs/1702.05037 Vaguery statistics curve-fitting models learning-from-data rather-interesting representation nudge-targets consider:primitives https://pinboard.in/ https://pinboard.in/u:Vaguery/b:3af91983d932/ 2017-02-12T11:54:39+00:00 https://arxiv.org/abs/1701.09123 Vaguery natural-language-processing classification algorithms machine-learning rather-interesting linguistics corpus learning-from-data nudge-targets consider:feature-discovery data-fusion https://pinboard.in/ https://pinboard.in/u:Vaguery/b:0d5dd9d19980/ 2017-02-01T12:03:05+00:00 https://arxiv.org/abs/1612.02542 Vaguery statistics information-theory learning-from-data proof nudge-targets consider:performance-measures https://pinboard.in/ https://pinboard.in/u:Vaguery/b:aa823c77a8f1/ 2017-01-10T13:44:52+00:00 https://arxiv.org/abs/1612.02710 Vaguery statistics algorithms inference learning-from-data simulation rather-interesting nudge-targets consider:looking-to-see consider:performance-measures performance-measure https://pinboard.in/ https://pinboard.in/u:Vaguery/b:3ec57ea8a6fc/ 2017-01-07T14:47:10+00:00 https://arxiv.org/abs/1612.00423 Vaguery learning-from-data benchmarking rather-interesting data-integration nudge-targets consider:looking-to-see consider:the-right-tool-for-the-job to-write-about https://pinboard.in/ https://pinboard.in/u:Vaguery/b:dc6a30789bf2/ 2016-12-17T14:54:37+00:00 https://arxiv.org/abs/1612.00085 Vaguery superresolution image-processing learning-from-data neural-networks feature-construction nudge-targets consider:representation consider:looking-to-see https://pinboard.in/ https://pinboard.in/u:Vaguery/b:356414ec0b74/ 2016-09-05T12:00:40+00:00 http://arxiv.org/abs/1608.03396 Vaguery image-processing machine-learning rather-interesting learning-from-data classification nudge-targets consider:rediscovery consider:feature-discovery https://pinboard.in/ https://pinboard.in/u:Vaguery/b:7f28b990387f/ 2016-08-06T13:03:36+00:00 http://arxiv.org/abs/1602.00061 Vaguery matrices learning-from-data inference nudge-targets algorithms inverse-problems consider:feature-discovery https://pinboard.in/ https://pinboard.in/u:Vaguery/b:57b9af7313ac/ 2015-12-28T13:17:13+00:00 http://arxiv.org/abs/1512.06238 Vaguery0) of the optimal solution, from samples drawn from the uniform distribution over all sets of size at most k. In the general case of monotone submodular functions, we show an n−1/3+ϵ lower bound and an almost matching Ω~(n−1/3)-optimization from samples algorithm. Additive and unit-demand functions can be optimized from samples to within arbitrarily good precision. Finally, we also consider a corresponding notion of additive approximation for continuous optimization from samples, and show near-optimal hardness for concave maximization and convex minimization. ]]> theory-and-practice-sitting-in-a-tree statistics inference learning-from-data no-free-lunch nudge-targets consider:stress-testing https://pinboard.in/ https://pinboard.in/u:Vaguery/b:e3e7d573d961/ 2015-07-05T11:27:46+00:00 http://arxiv.org/abs/1501.00592 Vaguery classification robustness horse-races wide-data learning-from-data nudge-targets consider:stress-testing https://pinboard.in/ https://pinboard.in/u:Vaguery/b:176eacdf8fca/ 2015-03-15T12:20:58+00:00 http://arxiv.org/abs/1503.03745 Vaguery games board-games planning hard-problems strategy learning-from-data rather-interesting nudge-targets Go consider:mining-db-and-coevolving https://pinboard.in/ https://pinboard.in/u:Vaguery/b:a6016bb2084c/ 2015-02-06T12:01:47+00:00 http://arxiv.org/abs/1501.04656 Vaguery microscopy machine-learning learning-from-data algorithms nudge-targets image-processing inverse-problems inference simulation rather-interesting https://pinboard.in/ https://pinboard.in/u:Vaguery/b:8aa670d0f4ca/ 2015-01-11T19:51:23+00:00 http://arxiv.org/abs/1403.2150 Vaguery machine-learning algorithms experimental-design learning-from-data nudge-targets consistency https://pinboard.in/ https://pinboard.in/u:Vaguery/b:675e5c65190f/ 2014-12-25T20:54:42+00:00 http://arxiv.org/abs/1412.5903 Vaguery deep-learning OCR image-analysis learning-from-data image-segmentation rather-interesting data-fusion metaheuristics nudge-targets algorithms note:datasets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:1a9ad135b427/ 2014-12-14T14:18:01+00:00 http://arxiv.org/abs/1411.0707 Vaguery statistics learning-from-data modeling algorithms nudge-targets consider:stress-testing consider:computational-effort https://pinboard.in/ https://pinboard.in/u:Vaguery/b:9b257c881478/ 2014-12-13T12:35:12+00:00 http://arxiv.org/abs/1401.2431 Vaguery inverse-problems models learning-from-data machine-learning operations-research nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:550c516cdd9a/ 2014-12-08T21:51:16+00:00 http://arxiv.org/abs/1408.6618 Vaguery philosophy-of-science learning-from-data rather-odd rather-interesting machine-learning https://pinboard.in/ https://pinboard.in/u:Vaguery/b:a791ff531b0b/ 2014-11-29T20:19:25+00:00 http://arxiv.org/abs/1404.3606 Vaguery deep-learning neural-networks image-analysis image-processing learning-from-data machine-learning nudge-targets algorithms https://pinboard.in/ https://pinboard.in/u:Vaguery/b:934feb187e3a/ 2014-11-14T11:38:51+00:00 http://arxiv.org/abs/1402.3902 Vaguery inference learning-from-data learning-theory algorithms formalization rather-odd rather-interesting nudge-targets not-quite-sure-I-see-the-points https://pinboard.in/ https://pinboard.in/u:Vaguery/b:f61be40c858f/ 2014-10-09T11:39:00+00:00 http://arxiv.org/abs/1407.3017 Vaguery modeling probability-theory inference nudge-targets learning-from-data machine-learning consider:all-kinds-of-stuff https://pinboard.in/ https://pinboard.in/u:Vaguery/b:7305ecc0b9fd/ 2014-04-19T08:17:56+00:00 http://arxiv.org/abs/1312.6607 Vaguery graphical-models inference statistics learning-from-data algorithms nudge-targets consider:the-other-path consider:complexity-vs-accuracy https://pinboard.in/ https://pinboard.in/u:Vaguery/b:905f20e1710e/ 2014-04-19T07:58:02+00:00 http://arxiv.org/abs/1205.4265 Vaguery information-theory statistics prediction models synergy learning-from-data nudge https://pinboard.in/ https://pinboard.in/u:Vaguery/b:8eeae2c1c345/ 2014-04-04T11:33:17+00:00 http://arxiv.org/abs/1403.1942 Vaguery clustering data-analysis nudge-targets learning-from-data machine-learning algorithms statistics https://pinboard.in/ https://pinboard.in/u:Vaguery/b:cdd52fd98630/ 2014-03-31T11:16:25+00:00 http://arxiv.org/abs/1310.3167 Vaguery theory-and-practice-sitting-in-a-tree statistics algorithms interesting learning-from-data learning-by-doing https://pinboard.in/ https://pinboard.in/u:Vaguery/b:b33bdbc4df9b/ 2014-01-28T11:26:49+00:00 http://jmlr.org/papers/v14/clark13a.html Vaguery via:cshalizi learning-from-data inference grammar nudge-targets see:Sipper see:Fogel https://pinboard.in/ https://pinboard.in/u:Vaguery/b:d2b7453ea92c/ 2014-01-14T11:59:00+00:00 http://arxiv.org/abs/1311.4486 Vaguery performance-measure learning-from-data the-mangle-in-practice covariance statistics nudge-targets consider:define-your-goals consider:data-balancing https://pinboard.in/ https://pinboard.in/u:Vaguery/b:8187ff7d0f6d/ 2013-11-29T13:21:34+00:00 http://arxiv.org/abs/1311.5763 Vaguery visualization time-series SOMs statistics learning-from-data interesting feature-extraction https://pinboard.in/ https://pinboard.in/u:Vaguery/b:598552ce08d0/ 2013-11-03T12:19:37+00:00 http://arxiv.org/abs/1310.6767 Vaguery algorithms exploration robotics curiosity diversity nudge-targets learning-from-data planning https://pinboard.in/ https://pinboard.in/u:Vaguery/b:64d8485d0abd/ 2013-09-24T11:29:42+00:00 http://arxiv.org/abs/1309.5823 Vaguery learning-from-data machine-learning algorithms metrics nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:2d6c8b29f665/ 2013-09-20T12:21:03+00:00 http://arxiv.org/abs/1211.4909 Vaguery signal-processing learning-from-data sparse-stuff nudge-targets algorithms consider:symbolic-regression https://pinboard.in/ https://pinboard.in/u:Vaguery/b:fc03a58966cb/ 2013-09-17T12:29:41+00:00 http://arxiv.org/abs/1308.6273 Vaguery 0$). In other words it can handle almost as many non-zeros as the best sparse recovery algorithms could tolerate {\em even if one knew the dictionary $A$ exactly}. ]]> compressed-sensing sparse-learning optimization representation learning-from-data nudge-targets computational-complexity consider:stress-testing https://pinboard.in/ https://pinboard.in/u:Vaguery/b:b846c1cfe73b/ 2013-09-17T11:16:10+00:00 http://arxiv.org/abs/1309.4061 Vaguery image-segmentation learning-from-data algorithms nudge-targets interesting collective-intelligence https://pinboard.in/ https://pinboard.in/u:Vaguery/b:95182a628714/ 2013-09-03T18:08:54+00:00 http://arxiv.org/abs/0912.5193 Vaguery analogies learning-from-data machine-learning algorithms natural-language-processing artificial-intelligence nudge-targets digital-humanities https://pinboard.in/ https://pinboard.in/u:Vaguery/b:a9165c420b21/ 2013-08-31T21:02:26+00:00 http://arxiv.org/abs/1303.3257 Vaguery statistics learning-from-data meta-optimization machine-learning algorithms nudge-targets interesting https://pinboard.in/ https://pinboard.in/u:Vaguery/b:bea7799e3f05/ 2013-04-01T15:50:37+00:00 http://arxiv.org/abs/1303.7264 Vaguery text-mining digital-humanities algorithms natural-language-processing clustering learning-from-data nudge-targets Cris-Moore https://pinboard.in/ https://pinboard.in/u:Vaguery/b:2aec8f71fc29/ 2013-03-10T11:45:45+00:00 http://arxiv.org/abs/1302.4242 Vaguery feature-extraction representation nudge-targets models learning-from-data data-analysis https://pinboard.in/ https://pinboard.in/u:Vaguery/b:69ecea8c9037/ 2013-02-17T12:50:05+00:00 http://arxiv.org/abs/1302.1543 Vaguery probability-theory philosophy learning-from-data theory-and-practice-sitting-in-a-tree https://pinboard.in/ https://pinboard.in/u:Vaguery/b:30e3a83ce5c1/ 2013-01-23T00:49:07+00:00 http://school.maths.uwa.edu.au/~gordon/sudokumin.php Vaguery sudoku training-data learning-from-data genetic-programming nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:8c7c52a17497/ 2013-01-23T00:39:34+00:00 http://www.setbb.com/phpbb/viewtopic.php?mforum=sudoku&p=8575 Vaguery sudoku puzzles datasets learning-from-data learning-by-watching nudge-targets genetic-programming https://pinboard.in/ https://pinboard.in/u:Vaguery/b:79ad923f85c9/ 2012-09-23T12:04:42+00:00 http://arxiv.org/abs/1204.2765 Vaguery learning-from-data natural-language-processing statistics subjective-measures corpora wikipedia https://pinboard.in/ https://pinboard.in/u:Vaguery/b:9eaeba0a36d9/ 2012-08-29T11:13:54+00:00 http://arxiv.org/abs/1206.0773 Vaguery statistics inference graphs learning-from-data nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:3d6493317387/ 2012-03-06T11:59:41+00:00 http://arxiv.org/abs/1111.3304 Vaguery algorithms statistics structure learning-from-data nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:e751fb31531d/ 2012-01-30T21:11:20+00:00 http://arxiv.org/abs/1201.5568 Vaguery data-analysis learning-from-data algorithms drinking-from-the-firehose nudge data-mining https://pinboard.in/ https://pinboard.in/u:Vaguery/b:3f6d28022889/ 2012-01-05T13:34:06+00:00 http://arxiv.org/abs/1109.2618 Vaguery machine-learning learning-from-data biochemistry computational-science nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:4990c6d3af52/ 2012-01-03T11:33:09+00:00 http://arxiv.org/abs/1109.3248 Vaguery inverse-problems statistics algorithms learning-from-data nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:6479f3030a70/ 2012-01-02T15:16:22+00:00 http://arxiv.org/abs/1112.5794 Vaguery learning-from-data statistics modeling biochemistry nudge-targets image-segmentation https://pinboard.in/ https://pinboard.in/u:Vaguery/b:1a3062560e0a/ 2011-10-10T10:58:16+00:00 http://arxiv.org/abs/1105.2584 Vaguery95% accurate power predictions from monitoring resource consumption of workloads, after a "training phase" in which a dynamic power model is developed."]]> operations-research cloud-computing system-administration learning-from-data nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:c2e098238a82/ 2011-08-03T15:11:16+00:00 http://arxiv.org/abs/1107.0674 Vaguery machine-learning classification learning-from-data algorithms nudge-targets rather-interesting https://pinboard.in/ https://pinboard.in/u:Vaguery/b:b6fc80c9eb86/ 2011-08-03T15:07:52+00:00 http://arxiv.org/abs/1107.0550 Vaguery image-analysis image-segmentation learning-from-data classification nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:76c6c581fd14/ 2011-06-10T14:33:56+00:00 http://languagelog.ldc.upenn.edu/nll/?p=3180 Vaguery Noam-Chomsky theory-and-practice-sitting-in-a-tree bias science learning-from-data https://pinboard.in/ https://pinboard.in/u:Vaguery/b:de3d20e7f395/ 2011-06-05T14:45:19+00:00 http://falkenblog.blogspot.com/2011/05/high-frequency-trading-paper.html Vaguery learning-from-data financial-engineering trading analytics nudge-targets https://pinboard.in/ https://pinboard.in/u:Vaguery/b:f4083f480cae/