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Adversarial machine learning
Results: 19

#	Item
11	Research Dispatch, JulyData mining researchers use innovative techniques to build robust classifier Researcher discovers that a combination of adversarial learning and sparse modelling techniques improves the perf Add to Reading List Source URL: www.cmcrc.com Language: English - Date: 2013-07-10 02:18:32 Artificial intelligence Statistical classification Concept drift Classifier Email spam Bayesian spam filtering Machine learning Statistics Learning
12	Machine Learning for Adversarial Agent Microworlds Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:49:06 Artificial intelligence Computational neuroscience Reinforcement learning Simulation Q-learning Temporal difference learning Game theory Machine learning Reinforcement Statistics Science Mathematics
13	Mach Learn: 69–83 DOIs10994Mining adversarial patterns via regularized loss minimization Wei Liu · Sanjay Chawla Add to Reading List Source URL: www.cmcrc.com Language: English - Date: 2013-08-20 22:22:50 Problem solving Stackelberg competition Minimax Nash equilibrium Adversary model Supervised learning Support vector machine Mathematical optimization Normal-form game Game theory Mathematics Algebra
14	Multi-Armed Bandits Pure Exploration in Multi-Armed Bandits Continuously-Armed Bandits Adversarial Multi-Armed Bandits References Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-06-28 04:20:48 Multi-armed bandit Bandit Statistics Stochastic optimization Machine learning
15	JMLR: Workshop and Conference Proceedings vol[removed]–23 The best of both worlds: stochastic and adversarial bandits S´ebastien Bubeck SBUBECK @ PRINCETON . EDU Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2012-08-21 11:04:32 Machine learning Multi-armed bandit Chernoff bound Martingale Concentration inequality Statistics Stochastic processes Stochastic optimization
16	Web spam Identification Through Content and Hyperlinks Jacob Abernethy Olivier Chapelle Carlos Castillo Add to Reading List Source URL: airweb.cse.lehigh.edu Language: English - Date: 2008-05-12 09:34:41 Statistical classification Spamming Machine learning Cybercrime Marketing Spam Linear classifier Static single assignment form Adversarial information retrieval Internet Statistics Computing
17	Latent Dirichlet Allocation in Web Spam Filtering ∗ István Bíró Jácint Szabó András A. Benczúr Add to Reading List Source URL: airweb.cse.lehigh.edu Language: English - Date: 2008-05-12 09:34:41 Statistical natural language processing Natural language processing Machine learning Information retrieval Latent Dirichlet allocation Adversarial information retrieval Spam Bag of words model Probabilistic latent semantic analysis Information science Science Artificial intelligence
18	Approaches to Adversarial Drift Alex Kantchelian Sadia Afroz Ling Huang Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2013-09-06 17:26:04 Linear classifier Learning classifier system Concept drift Malware Support vector machine Binary classification Naive Bayes classifier Ensemble learning Pattern recognition Statistics Machine learning Statistical classification
19	Web Spam Classification: a Few Features Worth More∗ 1 2 Miklós Erdélyi1,2 Add to Reading List Source URL: www.dl.kuis.kyoto-u.ac.jp Language: English - Date: 2012-04-10 20:34:41 Science Machine learning Natural language processing Data mining Spam filtering Adversarial information retrieval Spam in blogs Naive Bayes classifier Spam Spamming Internet Information science