Practical Lessons from Predicting Clicks on Ads at Facebook Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu∗, Tao Xu∗, Yanxin Shi∗, Antoine Atallah∗, Ralf Herbrich∗, Stuart Bowers, Joaquin Quiñonero Candel

First Page		Document Content
Date: 2014-09-14 16:43:06 Ensemble learning Decision trees Statistical classification Model selection Linear classifier Gradient boosting Pay per click Feature selection Boosting Machine learning Statistics Artificial intelligence		Practical Lessons from Predicting Clicks on Ads at Facebook Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu∗, Tao Xu∗, Yanxin Shi∗, Antoine Atallah∗, Ralf Herbrich∗, Stuart Bowers, Joaquin Quiñonero Candel Add to Reading List Source URL: quinonero.net Download Document from Source Website File Size: 773,88 KB Share Document on Facebook

	Advanced Methods in Statistical Classification SS 2013 Type Schedule / Room V3 Block course 01 April to 19th April Mo-Fr 1000 – DocID: 1uQKO - View Document
	Statistical and Computational Challenges in Networks and Cybersecurity Community Detection and Classification in Hierarchical Stochastic Blockmodels Carey E. Priebe DocID: 1u9u0 - View Document
	McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University DocID: 1tgDg - View Document
	On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance Aditya Krishna Menon University of California, San Diego, La Jolla CA 92093, USA DocID: 1sKKN - View Document
	SEMINAR ON STATISTICAL MAPPING This seminar, held in two sessions on Monday and Wednesday afternoons, dealt with statistical mapping, map generalization and classification. Papers were presented by JEAN-CLAUDE MULLER, R DocID: 1szhk - View Document