Ad Quality On TV: Predicting Television Audience Retention, Yannet Interian, Sundar Dorai-Raj, Igor Naverniouk, P. J. Opalinski, Kaustuv, Dan Zigmond, Proceedings of ADKDD, 2009.
Collaborative Filtering for Orkut Communities: Discovery of User Latent Behavior, Wen-Yen Chen, Jon Chu, Junyi Luan, Hongjie Bai, Edward Chang, 18th International Conference on World Wide Web (WWW), 2009, pp. 681-690.
Computers and iPhones and Mobile Phones, oh my! A logs-based comparison of search users on different devices, Maryam Kamvar, Melanie Kellar, Rajan Patel, Ya Xu, WWW 2009 MADRID, pp. 801-810.
Cooperative Coevolution and Univariate Estimation of Distribution Algorithms, Christopher Vo, Liviu Panait, Sean Luke, Foundations of Genetic Algorithms, 2009.
Do Viewers Care? Understanding the impact of ad creatives on TV viewing behavior, Yannet Interian, Kaustuv, Igor Naverniouk, P. J. Opalinski, Sundar Dorai-raj, Dan Zigmond, Re:Think 2009.
Going Mini: Extreme Lightweight Spam Filters, D. Sculley, Gordon V. Cormack, CEAS 2009: Proceedings of the Sixth Conference on Email and Anti-Spam.
PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce, Biswanath Panda, Joshua S. Herbach, Sugato Basu, Roberto J. Bayardo, Proc. of the 35th Int'l Conf. on Very Large Data Bases (VLDB-2009) (to appear).
Predicting Bounce Rates in Sponsored Search Advertisements, D. Sculley, Robert Malkin, Sugato Basu, Roberto J. Bayardo, Proc. of the 15th International ACM-SIGKDD Conference on Knowledge Discovery and Data Mining, 2009, pp. 1325-1334.
Pricing Guidance in Ad Sale Negotiations: The Print Ads Example, Adam Juda, S. N. Muthukrishnan, Ashish Rastogi, The Third Annual International Workshop on Data Mining and Audience Intelligence for Advertising, 2009.
Program Representation for General Intelligence, Moshe Looks, Ben Goertzel, The Second Conference on Artificial General Intelligence, 2009.
Scalable Attribute-Value Extraction from Semi-Structured Text, Yuk Wah Wong, Dominic Widdows, Tom Lokovic, Kamal Nigam, The 1st Workshop on Large-scale Data Mining: Theory and Applications (LDMTA 2009) (to appear).
Succinct approximate counting of skewed data, David Talbot, IJCAI-09 Proceedings, 2009, pp. 1243-1248.
Symmetric Splitting in the General Theory of Stable Models, Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz, Ravi Palla, In proc. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI '09), 2009, pp. 797-803.
Text Classification Through Time: Efficient Label Propagation in Time-Based Graphs, Shumeet Baluja, Deepak Ravichandran, D. Sivakumar, International Conference on Knowledge Discovery and Information Retrieval, 2009.
The Unreasonable Effectiveness of Data, Alon Halevy, Peter Norvig, Fernando Pereira, IEEE Intelligent Systems, vol. 24 (2009), pp. 8-12.
Video2Text: Learning to Annotate Video Content, Hrishikesh Aradhye, George Toderici, Jay Yagnik, ICDM Workshop on Internet Multimedia Mining, 2009.
A Social Query Model for Decentralized Search, Arindam Banerjee, Sugato Basu, Second ACM Workshop on Social Network Mining and Analysis at the KDD Conference (SNAKDD-08), 2008.
Bootstrapping Information Extraction from Semi-structured Web Pages, Andrew Carlson, Charles Schafer, ECML/PKDD, 2008, pp. 16.
Constrained Clustering: Advances in Algorithms, Theory, and Applications, Sugato Basu, Ian Davidson, Kiri Wagstaff, 2008.
Detecting Image Spam using Visual Features and Near Duplicate Detection, Bhaskar Mehta, Saurabh Nangia, Manish Gupta, Wolgang Nejdl, Proceedings of WWW 2008.
Efficient Concept Clustering for Ontology Learning using an Event Life Cycle on the Web, Sangsoo Sung, Seokkyung Chung, Dennis McLeod, Proc. 2008 ACM SYmposium on Applied Computing, pp. 2310-2314.
Exploring a Digital Library Through Key Ideas, Bill N. Schilit, Okan Kolak, JCDL, 2008, pp. 177-186.
Extreme Data Mining, Sridhar Ramaswamy, Proceedings 2008 ACM SIGMOD International Conference on Management of Data, pp. 1-2.
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields, Gideon Mann, Andrew McCallum, ACL, 2008.
Intelligent Email: Reply and Attachment Prediction, Mark Dredze, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira, Proceedings of the 2008 International Conference on Intelligent User Interfaces.
Learning Bounds for Domain Adaptation, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman, Advances in Neural Information Processing Systems 20, 2008.
Modeling Online Reviews with Multi-Grain Topic Models, Ivan Titov, Ryan McDonald, 17th International World Wide Web Conference, 2008.
PFP: Parallel FP-Growth for Query Recommendation, Haoyuan Li, Yi Wang, Dong Zhang, Edward Chang, Ming Zhang, ACM Recommendation Systems, 2008 (to appear).
Video Suggestion and Discovery for YouTube: Taking Random Walks Through the View Graph, Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly, WWW-2008.
A Support Vector Approach to Censored Targets, Pannagadatta Shivaswamy, Wei Chu, Martin Jansche, Seventh IEEE International Conference on Data Mining, 2007, pp. 655-660.
Clustering Billions of Images with Large Scale Nearest Neighbor Search, Ting Liu, Chuck Rosenberg, Henry A. Rowley, IEEE Workshop on Applications of Computer Vision, 2007.
Google Book Search: Document Understanding on a Massive Scale, L. Vincent, PROC. ninth International Conference on Document Analysis and Recognition (ICDAR), 2007, pp. 819-823.
Inferring Complex Agent Motions from Partial Trajectory Observations, Finnegan Southey, Wesley Loh, Dana Wilkinson, Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), 2007.
Mining API patterns as partial orders from source code: from usage scenarios to specifications, Mithun Acharya, Tao Xie, Jian Pei, Jun Xu, Proc. ACM SIGSOFT Symposium on The Foundations of Software Engineering, 2007, pp. 25-34.
On the Prospects for Building a Working Model of the Visual Cortex, Thomas Dean, Glenn Carroll, Richard Washington, Proceedings of AAAI-07, 2007, pp. 1597-1600.
Relational Clustering by Symmetric Convex Coding, Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu, Proc. 24th ICML, 2007, pp. 569-576.
Scaling Up All Pairs Similarity Search, Roberto Bayardo, Yiming Ma, Ramakrishnan Srikant, Proc. of the 16th Int'l Conf. on the World Wide Web, 2007.
Selecting Observations Against Adversarial Objectives, Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta, Advances in Neural Information Processing Systems (NIPS 2007).
Studies in Lower Bounding Probability of Evidence using the Markov Inequality, Vibhav Gogate, Bozhena Bidyuk, Rina Dechter, UAI, 2007.
Robust Music Identification, Detection, and Analysis, Mehryar Mohri, Pedro Moreno, Eugene Weinstein, Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR 2007).
Cluster Ranking with an Application to Mining Mailbox Networks, Ziv Bar-Yossef, Ido Guy, Ronny Lempel, Yoelle S. Maarek, Vladimir Soroka, ICDM, 2006, pp. 63-74.
Data Fusion and Multicue Data Matching by Diffusion Maps, Stéphane Lafon, Yosi Keller, Ronald R. Coifman, IEEE Trans. Pattern Anal. Mach. Intell., vol. 28 (2006), pp. 1784-1797.
Dense Subgraph Extraction, David Gibson, Ravi Kumar, Kevin S. McCurley, Andrew Tomkins, in: Mining Graph Data, 2006, pp. 411-441.
Learning Invariant Features Using Inertial Priors, Thomas Dean, Annals of Mathematics and Artificial Intelligence, vol. 47 (2006), pp. 223-250.
Mining for proposal reviewers: lessons learned at the national science foundation, Seth Hettich, Michael J. Pazzani, Proc. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006, pp. 862-871.
Mining the Web to Determine Similarity Between Words, Objects, and Communities, Mehran Sahami, Proceedings of the 19th International FLAIRS Conference (FLAIRS-2006).
New cached-sufficient statistics algorithms for quickly answering statistical questions, Andrew Moore, Proc. 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006, pp. 2.
Reasoning about Partially Observed Actions, Megan Nance, Adam Vogel, Eyal Amir, AAAI, 2006.
Scalable Inference in Hierarchical Generative Models, Thomas Dean, Proceedings of the Ninth International Symposium on Artificial Intelligence and Mathematics, 2006.
A Computational Model of the Cerebral Cortex, Thomas Dean, Proceedings of AAAI-05, 2005, pp. 938-943.
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping, Mikhail Bilenko, Sugato Basu, Mehran Sahami, Proceedings of the 5th IEEE International Conference on Data Mining, 2005, pp. 58-65.
Evaluating similarity measures: a large-scale study in the orkut social network, Ellen Spertus, Mehran Sahami, Orkut Buyukkokten, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005), pp. 678-684.
Special Review Issue, Donald Perlis, Peter Norvig, Artif. Intell., vol. 169 (2005), pp. 103-212.
Unweaving a web of documents, R. Guha, Ravi Kumar, D. Sivakumar, Ravi Sundaram, KDD, 2005, pp. 574-579.
A Retrospective on "Paradigms of AI Programming", Peter Norvig, Vivek (A Quarterly in Artificial Intelligence), vol. 15 (2003).
A social network caught in the Web, Lada A. Adamic, Orkut Buyukkokten, Eytan Adar, First Monday, vol. 8 (2003).
Mining Optimized Gain Rules for Numeric Attributes, Sergey Brin, Rajeev Rastogi, Kyuseok Shim, IEEE Trans. Knowl. Data Eng., vol. 15 (2003), pp. 324-338.
Artificial Intelligence: A Modern Approach, Stuart Russell, Peter Norvig, 2002.
Intelligent Help Systems for UNIX, Stephen J. Hegner, Paul McKevitt, Peter Norvig, Robert Wilensky, 2001.
Extracting Patterns and Relations from the World Wide Web, Sergey Brin, WebDB, 1998, pp. 172-183.
Scalable Techniques for Mining Causal Structures, Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, VLDB, 1998, pp. 594-605.