文件名称:active_learning

  • 所属分类:
  • matlab例程
  • 资源属性:
  • 上传时间:
  • 2018-01-04
  • 文件大小:
  • 45kb
  • 下载次数:
  • 0次
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  • CU_s*****
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机器学习领域内主动学习(Active Learning)程序包,matlab实现。(The active learning (Active Learning) package, matlab implementation.)
相关搜索: machine
learning
人工智能

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
active_learning\active_learning.m 6332 2016-04-20
active_learning\label_oracles\bernoulli_oracle.m 1353 2014-09-19
active_learning\label_oracles\label_oracles.m 1689 2014-09-19
active_learning\label_oracles\lookup_oracle.m 1187 2014-09-19
active_learning\label_oracles\multinomial_oracle.m 1465 2014-09-19
active_learning\LICENSE 1086 2014-09-19
active_learning\models\cheating_model.m 2314 2014-09-19
active_learning\models\ensemble.m 4100 2014-09-19
active_learning\models\gaussian_process_model.m 2368 2014-09-19
active_learning\models\knn_model.m 2582 2014-09-19
active_learning\models\label_propagation_model.m 4556 2014-09-19
active_learning\models\models.m 1467 2014-09-19
active_learning\models\model_memory_wrapper.m 655 2014-09-19
active_learning\models\random_forest_model.m 1732 2016-04-20
active_learning\other\get_label_oracle.m 1300 2014-09-19
active_learning\other\get_model.m 1362 2014-09-19
active_learning\other\get_query_strategy.m 1568 2014-09-19
active_learning\other\get_score_function.m 1559 2016-04-19
active_learning\other\get_selector.m 1299 2014-09-19
active_learning\query_strategies\argmax.m 2024 2014-09-19
active_learning\query_strategies\argmin.m 2029 2014-09-19
active_learning\query_strategies\expected_error_reduction.m 3061 2014-09-19
active_learning\query_strategies\margin_sampling.m 1776 2014-09-19
active_learning\query_strategies\query_by_committee.m 3186 2014-09-19
active_learning\query_strategies\query_strategies.m 1860 2016-04-19
active_learning\query_strategies\uncertainty_sampling.m 1664 2016-04-19
active_learning\README.md 9423 2014-09-19
active_learning\readme.txt 5691 2016-04-19
active_learning\score_functions\calculate_entropies.m 254 2014-09-19
active_learning\score_functions\expected_loss_lookahead.m 4922 2014-09-19
active_learning\score_functions\expected_loss_naive.m 2598 2014-09-19
active_learning\score_functions\expected_utility_lookahead.m 1364 2014-09-19
active_learning\score_functions\expected_utility_naive.m 1171 2014-09-19
active_learning\score_functions\loss_functions\expected_01_loss.m 1415 2014-09-19
active_learning\score_functions\loss_functions\expected_log_loss.m 1522 2014-09-19
active_learning\score_functions\loss_functions\loss_functions.m 1725 2014-09-19
active_learning\score_functions\margin.m 1654 2014-09-19
active_learning\score_functions\marginal_entropy.m 1664 2014-09-19
active_learning\score_functions\score_functions.m 1636 2014-09-19
active_learning\selectors\fixed_test_set_selector.m 1577 2014-09-19
active_learning\selectors\graph_walk_selector.m 2026 2014-09-19
active_learning\selectors\identity_selector.m 1332 2014-09-19
active_learning\selectors\meta_selectors\complement_selector.m 1343 2014-09-19
active_learning\selectors\meta_selectors\intersection_selector.m 1529 2014-09-19
active_learning\selectors\meta_selectors\union_selector.m 1436 2014-09-19
active_learning\selectors\probability_treshold_selector.m 1477 2014-09-19
active_learning\selectors\random_selector.m 1467 2014-09-19
active_learning\selectors\selectors.m 1735 2014-09-19
active_learning\selectors\unlabeled_selector.m 1148 2014-09-19
active_learning\test.m 2444 2016-04-20
active_learning\score_functions\loss_functions 0 2018-01-04
active_learning\selectors\meta_selectors 0 2018-01-04
active_learning\label_oracles 0 2018-01-04
active_learning\models 0 2018-01-04
active_learning\other 0 2018-01-04
active_learning\query_strategies 0 2018-01-04
active_learning\score_functions 0 2018-01-04
active_learning\selectors 0 2018-01-04
active_learning 0 2018-01-04

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