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Large Projects
- Algorithms and Frameworks for OCR and Content-based Image Retrieval
Jike Chong, Bryan Christopher Catanzaro, Narayanan Sundaram, Fares Hedayati and Kurt Keutzer
- Bioinformatics
Michael Jordan
- BioText: Natural Language Analysis of Bioscience Text (BioText)
Marti Hearst
- Center for Biomedical Informatics in Critical Care (C-BICC)
Norman Aleks, Fei Sha, Stuart J. Russell and Geoffrey Manley
- Directing a Datacenter
Peter Bodik, Charles Sutton, Armando Fox, David A. Patterson and Michael Jordan
- Effective Bayesian Transfer Learning (EBTL)
Stuart J. Russell, Peter Bartlett and Michael Jordan
- GamesCrafters: Undergraduate Game Theory Research and Development
Dan Garcia
- Natural Language Processing Group (NLP)
Daniel Klein, Alexandre Bouchard-Cote, John Sturdy DeNero, Aria Delier Haghighi, Percy Shuo Liang, Adam David Pauls and Slav Orlinov Petrov
- Neural Theory of Language (NTL)
Jerome A. Feldman
- Statistical Machine Learning
Michael Jordan, Lior Pachter, Peter Bartlett and Martin Wainwright
Small Projects
- A Human Health Monitoring System Using Fuzzy Logic
Yutaka Hata and Hiroshi Nakajima
- A New Frontier in Computation--Computation with Information Described in Natural Language
Lotfi A. Zadeh
- A Permutation-Augmented Sampler for Dirichlet Process Mixture Models
Percy Shuo Liang, Michael Jordan and Ben Taskar
- A Probabilistic Approach to Diachronic Phonology
Alexandre Bouchard-Cote, Percy Shuo Liang, Daniel Klein and Thomas Griffiths
- Adversarial Reasoning with Partial Information
Jason A. Wolfe and Stuart J. Russell
- Agreement-based Learning
Percy Shuo Liang, Daniel Klein and Michael Jordan
- Classification of Images with Hierarchical Beta Processes
Romain Jean Thibaux, Michael Jordan and Erik Sudderth
- CPRMs: A Joint Model for Understanding and Action
Leon Rubin Barrett and Jerome A. Feldman
- Discriminative Features for Large Vocabulary Speech Recognition
Arlo Faria and Nelson Morgan
- Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering
Tavi Nathanson, Ephrat Bitton and Ken Goldberg
- Excess Risk Bounds for Multi-Task Learning
Ambuj Tewari and Peter Bartlett
- Exploring Intrinsic Speaker Qualities Via an Analysis of Automatic Speaker Recognition System Errors
Lara Lynn Stoll and Nelson Morgan
- From Bivalent Logic to Multivalued Logic to Fuzzy Logic and Beyond
Lotfi A. Zadeh
- From Fuzzy Logic to Extended Fuzzy Logic--The Concept of F-validity and the Impossibility Principle
Lotfi A. Zadeh
- From Search Engines to Question-Answering Systems--A Challenge that Is Hard to Meet
Lotfi A. Zadeh
- Fuzzy Logic and Science--A Novel Perspective
Lotfi A. Zadeh
- Fuzzy Logic as the Logic of Natural Languages
Lotfi A. Zadeh
- Generalized Theory of Uncertainty (GTU)--Principal Concepts and Ideas
Lotfi A. Zadeh
- Graduation and Granulation--Keys to Computation with Information Described in Natural Language
Lotfi A. Zadeh
- Grammar Learning Using Bayesian Nonparametrics
Percy Shuo Liang, Slav Orlinov Petrov, Michael Jordan and Daniel Klein
- Granular Computing--The Concept of Generalized Constraint-Based Computation
Lotfi A. Zadeh
- Hydra: A Networked, Collaborative Simulation and Visualization Tool for Single and Multiple UAV-Assisted Search (Hydra)
Ephrat Bitton and Ken Goldberg
- Kernel Selection and Optimization for Support Vector Machines: Application to Speaker Verification
Andrew Oliver Hatch and Nelson Morgan
- Learning and Inference for Hierarchically Split Probabilistic Context-Free Grammars
Slav Orlinov Petrov and Daniel Klein
- Learning Structured Models for Phone Recognition
Slav Orlinov Petrov, Adam David Pauls and Daniel Klein
- Multiprocessor Implementation of Image Recognition
Narayanan Sundaram, Bryan Christopher Catanzaro, Jike Chong and Kurt Keutzer
- Nonparametric Bayesian Methods for Machine Learning
Romain Jean Thibaux and Michael Jordan
- Optimal ROC Curve for a Combination of Classifiers
Marco Antonio Barreno, Alvaro Cardenas and Doug Tygar
- Phonetic- and Speaker-Discriminant Features for Speaker Recognition
Lara Lynn Stoll, Nikki Mirghafori, Joe Frankel and Nelson Morgan
- PNL-Enhanced Restricted Domain Question Answering System (BISC Q/A)
Lotfi A. Zadeh
- Probabilistic Inference with Unknown Objects
Stuart J. Russell, Rodrigo de Salvo Braz and Nimar S Arora
- Properties of Maximum and Maximal VC-Classes
Benjamin I. P. Rubinstein, J. Hyam Rubinstein and Peter Bartlett
- Real-Time, Online, Speaker Diarization
Nelson Morgan
- Security of Adaptive Systems (SecML)
Marco Antonio Barreno, Blaine Alan Nelson, Benjamin I. P. Rubinstein, Anthony D. Joseph, Doug Tygar, Udam Saini, Kai Xia and Jack Chi
- Speaker Diarization for Broadcast News
Yan Huang and Nelson Morgan
- Statistical Analysis of Online News (StatNews)
Laurent El Ghaoui, Babak Ayazifar, Onureena Banerjee and Brian Christopher Gawalt
- Syntactic Machine Translation
Alexandre Bouchard-Cote, John Sturdy DeNero, Aria Delier Haghighi, Percy Shuo Liang and Daniel Klein
- Toward Human-Level Machine Intelligence
Lotfi A. Zadeh
- Unsupervised Content-Based Organization of Large Collections of Activity Videos
Parvez Ahammad, Chuohao Yeo, Kannan Ramchandran and S. Shankar Sastry
- Unsupervised Coreference Resolution (UnsupCoref)
Aria Delier Haghighi and Daniel Klein
- Unsupervised Word Alignments for Machine Translation
John Sturdy DeNero, Percy Shuo Liang, Daniel Klein and Ben Taskar
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