Share This Author
ML-KNN: A lazy learning approach to multi-label learning
- F. Liu, K. Ting, Zhi-Hua Zhou
- Computer ScienceEighth IEEE International Conference on Data…
- 15 December 2008
The use of isolation enables the proposed method, iForest, to exploit sub-sampling to an extent that is not feasible in existing methods, creating an algorithm which has a linear time complexity with a low constant and a low memory requirement.
Top 10 algorithms in data mining
- Xindong Wu, Vipin Kumar, D. Steinberg
- Computer ScienceKnowledge and Information Systems
- 19 December 2007
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN,…
A Review on Multi-Label Learning Algorithms
This paper aims to provide a timely review on this area with emphasis on state-of-the-art multi-label learning algorithms with relevant analyses and discussions.
Deep Forest: Towards An Alternative to Deep Neural Networks
In this paper, we propose gcForest, a decision tree ensemble approach with performance highly competitive to deep neural networks in a broad range of tasks. In contrast to deep neural networks which…
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
Applications to two real-world multilabel learning problems, i.e., functional genomics and text categorization, show that the performance of BP-MLL is superior to that of some well-established multILabel learning algorithms.
Ensembling neural networks: Many could be better than all
Isolation-Based Anomaly Detection
This article proposes a method called Isolation Forest (iForest), which detects anomalies purely based on the concept of isolation without employing any distance or density measure---fundamentally different from all existing methods.
Automatic Age Estimation Based on Facial Aging Patterns
- Xin Geng, Zhi-Hua Zhou, K. Smith‐Miles
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 December 2007
This paper proposes an automatic age estimation method named AGES (AGing pattErn Subspace), which is to model the aging pattern, which is defined as the sequence of a particular individual's face images sorted in time order, by constructing a representative subspace.
Tri-training: exploiting unlabeled data using three classifiers
Experiments on UCI data sets and application to the Web page classification task indicate that tri-training can effectively exploit unlabeled data to enhance the learning performance.