Top: Computer Science: Machine Learning: Preprocessing:

Description

Feature selection, feature engineering/synthesis, etc.

No subcategories

Lectures

[syn]  751 views, 00:57:16 Introduction to feature selection Isabelle Guyon	[syn]  189 views, 00:22:00 A Transductive Framework of Distance Metric Learning by Spectral Dimensionality Reduction Fuxin Li	[syn]  170 views, 01:24:23 The Sparse Grid Method Jochen Garcke	[syn]  154 views, 00:26:22 Identifying Feature Relevance using a Random Forest Jeremy D. Rogers	[syn]  147 views, 00:53:24 Dimensionality Reduction by Feature Selection in Machine Learning Dunja Mladenić
136 views, 00:18:09 Adaptive Dimension Reduction Using Discriminant Analysis and K-means Clustering Shuiwang Ji	131 views, 00:17:51 Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplacian Eigenmapse Samuel Gerber	[syn]  122 views, 01:05:32 Feature Selection and Causality Inference Isabelle Guyon	[syn]  119 views, 00:26:41 Adaptive Feature Selection in Image Segmentation Volker Roth	[syn]  116 views, 00:21:24 Map Building without Localization by Dimensionality Reduction Techniques Takehisa Yairi
[syn]  101 views, 00:18:25 Optimal Dimensionality of Metric Space for Classification Xiangyang Xue	97 views, 00:23:41 Graph Embedding in Vector Spaces by Means of Prototype Selection Kaspar Riesen 1 comment	[syn]  91 views, 00:50:24 Multi-task feature learning Andreas Argyriou	71 views, 00:41:12 Learning with spectral representations and use of MDL principles Edwin Hancock	67 views, 00:14:40 What Mental States? Exploring How Dimensionality Reduction Might Contribute to the Refinement of Cognitive Models Kenneth Whang
[syn]  62 views, 00:16:26 Landscape Multidimensional Scaling Frank Klawonn	51 views, 00:21:49 Relational Data Pre-Processing Techniques for Improved Securities Fraud Detection Andrew Fast	50 views, 00:19:07 Cleaning Disguised Missing Data: A Heuristic Approach Jian Pei	43 views, 00:22:57 Grouping Using Factor Graphs: an Approach for Finding Text with a Camera Phone Huiying Shen	[syn]  40 views, 00:25:34 What is the Optimal Number of Features? A learning theoretic perspective Amir Navot