A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data Read more about A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data
Hierarchical Sampling for Offline Reinforcement Learning Read more about Hierarchical Sampling for Offline Reinforcement Learning
Classification of calcium in intravascular OCT images for the purpose of intervention planning Read more about Classification of calcium in intravascular OCT images for the purpose of intervention planning
On Functional Annotation of the Human Brain by Combining Resting State Connectivity and Activation Foci Read more about On Functional Annotation of the Human Brain by Combining Resting State Connectivity and Activation Foci
Kernel methods for Multiple-Instance Learning Read more about Kernel methods for Multiple-Instance Learning
Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs Read more about Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs
CARIAL: Cost-Aware Software Reliability Improvement with Active Learning Read more about CARIAL: Cost-Aware Software Reliability Improvement with Active Learning
Can Network Characteristics Detect Spam Effectively in a Stand-Alone Enterprise? Read more about Can Network Characteristics Detect Spam Effectively in a Stand-Alone Enterprise?
Bayesian Hierarchical Reinforcement Learning Read more about Bayesian Hierarchical Reinforcement Learning
Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning Read more about Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning
