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Welcome to the Center for Machine Learning and Intelligent Systems at the University of California, Irvine.
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CML: In The News |
Center Director Receives 2009 ACM SIGKDD Innovation Award
 Padhraic Smyth, Professor of Computer Science and Director of the Center for Machine Learning and Intelligent Systems, has been awarded the 2009 Innovation Award from the Association of Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD). Smyth is recognized for his contributions to both the theory and application of probabilistic and statistical approaches to data mining. For more details, see the award citation.
PhD Students Receive Prestigious Graduate Fellowships
 Christopher DuBois, America Holloway, and Chloe Azencott have recently been awarded prestigious graduate fellowships. DuBois, a first-year statistics PhD student, received a three-year NDSEG Graduate Fellowship, and he will use this funding to pursue research on statistical modeling of social networks. Holloway, a second-year computer science PhD student, received a Microsoft Graduate Women's Scholarship, and she will use this funding to further her research on topic models. Azencott, a fourth-year computer science PhD student, received an IBM PhD Fellowship, which will fund her investigation of machine learning techniques for chemoinformatics. Congrats to all!
Center Receives Yahoo! Gift Funding
 The Center has recently received gift funding in the amount of $5000 from Yahoo! Research for continued support of the weekly Seminar Series in Artificial Intelligence and Machine Learning. The series has been running for over 2 years now with support from Yahoo! and has been a great success with upwards of 40 to 50 students and faculty attending weekly.
Center Member Awarded Grant to Study Vision Techniques for Satellite Imagery
 Charless Fowlkes, an assistant professor in computer science, was recently awarded a grant through the UC Lab Research program, entitled "Context Driven Image Interpretation in Satellite Imagery". The grant provides $488k over three years and is a collaboration between Fowlkes and investigators at Los Alamos National Labs. Their goal is to develop new techniques for image segmentation and object recognition based on contextual relations within a scene. These methods will be applied to performing large-scale visual search and automatic identification of potential threats in satellite imagery, in order to aid nuclear verification and counter proliferation efforts.
Center Members Awarded $5.4 Million to Study Large-Scale Networks
 Along with Center members Michael Goodrich, David Eppstein, and Carter Butts, computer science professor and director of the Center for Machine Learning Padhraic Smyth has received a five-year, $5.4 million grant from the U.S. Office of Naval Research to study large-scale networks with millions of nodes. The goal is to understand how networks the size of Facebook and LinkedIn are formed and how they evolve over time. The multidisciplinary effort spans the spectrum from theoretical computer science to the social sciences and will involve faculty with expertise ranging from algorithms to graph visualization, machine learning, statistics, sociology and behavioral science.
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Join us every week at the AI/ML Seminar
and every month at the Distinguished Speaker Series.
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