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home · the department · publications · technical reports · 
 

Technical Reports by Gregory Grudic
 
by Author by Year by Number All Reports
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CU-CS-952-03
Robust Minimax Probability Machine Regression
CU-CS-954-03
Probabilistic Random Forests: Predicting Data Point Specific Misclassification Probabilities
CU-CS-955-03
Nonparametric Classification with Polynomial MPMC Cascades
CU-CS-956-03
Sparse Greedy Minimax Probability Machine Classification
CU-CS-973-04
Clustering with Local and Global Consistency
CU-CS-974-04
Predicting the Probability of Correct Classification
CU-CS-975-04
Probabilistic Regression Using Basis Function Models
CU-CS-976-04
Unsupervised Outlier Detection and Semi-Supervised Learning
CU-CS-977-04
Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for Large Datasets
CU-CS-1027-07
Using Binary Classifiers to Augment Stereo Vision for Enhanced Autonomous Robot Navigation
CU-CS-1030-07
Local Path Planning in Image Space for Autonomous Robot Navigation in Unstructured Environments
CU-CS-1052-09
New Techniques for Path Planning in Image Space
  
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Department of Computer Science
College of Engineering and Applied Science
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