Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia1 , Joshua Abbott2 , Joseph Austerweil3 , Thomas Griffiths2 , Trevor Darrell1 1 UC Berkeley EECS 2 Dept of

Source URL: cocosci.berkeley.edu

• Statistics
• Artificial intelligence
• Machine learning
• Cognition
• Computational neuroscience
• Concept learning
• Learning theory
• ImageNet
• Artificial neural network
• Supervised learning
• Support vector machine
• Probability distribution

An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

Source URL: ai.stanford.edu

• Machine learning
• Statistics
• Artificial intelligence
• Learning
• Feature learning
• Deep learning
• K-means clustering
• Pattern recognition
• Supervised learning
• Statistical classification
• Artificial neural network
• Cluster analysis

Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification Krikamol Muandet1 , Sanparith Marukatat2 , and Cholwich Nattee1 1 School of Information, Computer and Communication Technology

Source URL: krikamol.org

Semi-Supervised Sequence Labeling with Self-Learned Features Yanjun Qi∗ , Pavel Kuksa† , Ronan Collobert∗ , Kunihiko Sadamasa∗ , Koray Kavukcuoglu‡ and Jason Weston§ ∗ Machine Learning Department, NEC Labs A

Source URL: koray.kavukcuoglu.org

Supervised Learning with Neural Networks and Machine Translation with LSTMs Ilya Sutskever in collaboration with:

Source URL: www.cs.tau.ac.il

2009 Ninth IEEE International Conference on Data Mining Extending Semi-supervised Learning Methods for Inductive Transfer Learning Yuan Shi

Source URL: www.cs.unc.edu

Efficient Learning of Linear Separators under Bounded Noise Pranjal Awasthi PAWASHTI @ CS . PRINCETON . EDU Princeton University

Source URL: jmlr.org

• Machine learning
• Statistics
• Loss function
• Statistical theory
• Learning
• Supervised learning
• Probability distributions
• Statistical classification
• Coding theory

Module: Weka for Information Retrieval Last Update: December 10, Module Name

Source URL: curric.dlib.vt.edu

• Statistical classification
• Machine learning
• Artificial intelligence
• Learning
• Statistics
• Weka
• Naive Bayes classifier
• Support vector machine
• Document classification
• K-nearest neighbors algorithm
• Supervised learning
• Linear classifier

Handbook of Research on Organizational Transformations through Big Data Analytics Madjid Tavana La Salle University, USA

Source URL: www.bitstoenergy.ch

• Machine learning
• Statistical classification
• Support vector machine
• K-nearest neighbors algorithm
• Feature selection
• Ground truth
• Supervised learning
• Data analysis
• K-means clustering
• Energy industry

Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK

Source URL: mlg.eng.cam.ac.uk