Topic related document folders do not show up in /documents/:course_id/folder about studip-rest.ip HOT 8 CLOSED

{
  "course": {
    "course_id": "6e210f47d8aa3c186a7e59e1322f4aa9",
    "start_time": "1490997600",
    "chdate": "1489663172",
    "duration_time": "0",
    "number": "8.3320",
    "title": "Ensemble Methods for Machine Learning",
    "subtitle": null,
    "type": "1",
    "modules": {
      "overview": true,
      "admin": true,
      "forum": true,
      "documents": true,
      "schedule": true,
      "participants": true,
      "personal": false,
      "literature": false,
      "wiki": true,
      "scm": true,
      "elearning_interface": false,
      "documents_folder_permissions": true,
      "calendar": false,
      "resources": false
    },
    "description": "The course “Ensemble Methods for Machine Learning” is intended for bachelor and master students who are interested in a more detailed and practical introduction to ensemble methods. \r\n\r\nThe first part of the course will cover basic concepts for regression, classification and density estimation. We will start with simple models (called “weak learners”) and then continue with their compositions into more complex models (e.g. perceptrons and decision trees) and conclude with their aggregation into ensembles (e.g. random decision forests). \r\nConcepts discussed in more detail in this part include bootstrapping & boosting, random ferns & forests and extra randomized trees. The theoretical sessions will be accompanied by practical examples (in python).  There is no mandatory homework, however, after the first part, there will be a pass/fail midterm test that is a prerequisite for participation in the second part.\r\n\r\nThe second part of the course will cover applications of random forests to classification, regression and density estimation problems. We will present some examples for analysis of low and high dimensional data from the fields of computer vision, time-series analysis and others. Students will work on smaller projects in groups. At the end of the course, each group will present their work and hand in a project report (due 1st of August).\r\nThe final grade will be the average of the grades of the presentation and the group report.",
    "location": "",
    "visitdate": "1493799956",
    "status": "autor",
    "visible": "1",
    "semester_id": "b2b8652acc0f6caac5569bc27c3777b5",
    "teachers": [
      "67cc3e0fc4abf1dc74fad929e8ad6f24",
      "61949291470a25263b8008dec8577ebf"
    ],
    "tutors": [],
    "students": [
      "8fb08efda4d8c4573ac8838dd54392a5",
      "faf919abf28bf2d60b5f17765ef8fcb8",
      "191dd9ba35394b4ece6a13677ccab7ad",
      "2ab2bf094c3237b62fc444c06ae248b7",
      "8c1165719a5ffe25f70f69da04c6d468",
      "3c297e1ccd3827dbf18f2ae9f43bfe73",
      "24448b6b46cef747f18294981a7cfcec",
      "f39593f7521ad1e091f6a9e87f22c1b0",
      "4659ab0402f98533fdc88b5827a94cab",
      "a10c0c2b63ac145632a4d234e97ffe05",
      "cc6d16dbf9feb038a5a99e00f0454280",
      "bfe888b74f681374ea5b315b9530d58f",
      "6b106ccee727f53800d68b0bea8aba89",
      "34c44bbaa823db76f0033ae81886a259",
      "ab6dc36d777209b144ae2b79b2459ee4",
      "22e863c4c65e19f29c4a81d6127e5e2f",
      "b49ac69d6180c2b6a8d4bb479c665ee1",
      "27aec57a10e577097aa6f1de854a585f",
      "f778692e7e7d129bed53f98ea4cb1c9b",
      "4f90345d308efebc4ec3521d047b9062",
      "25109808e9d709dea5f40aa1753095d3",
      "7658c77f869c174fb4ac8119ed697fbb",
      "32c98a6a5811e7c7d1e2254e87247174",
      "a7619e4884144c7572bb9ddb63bf5d69",
      "844aa6478984f5c7c28b579c1e180be3",
      "b2fb539f8e4f0761ff992db765996231",
      "c79d96631b36d299b74089e220124e08",
      "548e5f27f47629150b3a47eecf9f80a8",
      "ddde8aee972417854fdea4576ce0ca54",
      "ca02b0f4f7616441bae5f6bbd7119e1e",
      "a1487a1a111734446c00c0f7b692cad9",
      "b0e538525292dceda275804a674ba544",
      "f226f2461ac5440bf9849c4d2da2ff54",
      "06ea93ae048c285d810d59f548a8c8d7",
      "502dc64dce41edec21e889a0091382ac",
      "325a2248f5ad979b3947db89ccc9eefc",
      "7973b622b033e85cda1094f412e9689e",
      "c1255e8e155d1a7b88208ab7868f94a3",
      "50d581b6f9988a662f9b9ac167c04d7f",
      "0e27acd98ea2f2d4cecca090311a0e4d",
      "6d28048a4ce47485af100fca0107f47b",
      "945c97cbed6e5eef63af45d8d591b8db",
      "e5d3ae2bc7865e188a20d7ba414add37",
      "f7594c10f1c7aeebdeeaa6351a16199f",
      "b1da4b1bba721f131f5b91a05045330b",
      "cf1e4d1195524b4838d8cd6549f19aad",
      "77d3efd0c4396e3644be02333ecfd403",
      "4e1e809f462bf3308f90f54bf6c41f79",
      "86769f8df6cdfb6a32bd6a0d38687759",
      "28d4b07b8964df97c42cabdffae9dc9a",
      "d25c13b1a1f1ad543959392d3fb67d18",
      "81feebb4ebb3790448b945a6d785c225",
      "d9cc85f1ae0997ea8ab00d898c2bcfc1",
      "cdf57534ae21aaf69f5d9bf407ddc076",
      "2f30566f953943da1e1395f74b31c146",
      "c3db199de2b5f05ed2532839df25fc54",
      "525a59deb6f931635b7d24ce3dc73d43",
      "3cee39e69b7ce42514c6801e63c86a45",
      "5ddd4da8a1a89eea3379852d799ea310",
      "e2088e4ac2d27d708ab41b578d1e351d",
      "f2bde3ef3e465f83c4601eeb0705466b",
      "39333c25445e5064e9573f032f79640b",
      "3164f63634bd9fe9914dc9bdd15162de",
      "c41a6023a3cafba14d1a8161eeba59f8",
      "af833d05bb0e0df9fa8968c36376249d",
      "6ced8ef45388aba00716cbdf7e623f6b",
      "66fb434206c19da807d5e33c57030f1c",
      "d646fa791f07f119b5ab1e50f5984524",
      "29955d6f1fc6e3aae5815882cd61074d"
    ],
    "color": null,
    "url": "https://studip.uos.de/seminar_main.php?auswahl=6e210f47d8aa3c186a7e59e1322f4aa9",
    "iso_chdate": "2017-03-16T12:19:32+01:00",
    "iso_start_time": "2017-04-01T00:00:00+02:00",
    "iso_visitdate": "2017-05-03T10:25:56+02:00"
  }
}