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cs.LG2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou, Ville Kyrki, Pasi Fränti +1
Bayesian inference has many advantages in decision making of agents (e.g. robotics/simulative agent) over a regular data-driven black-box neural network: Data-efficiency, generaliz…
cs.LG2025
Fixed-sized clusters -Means
Mikko I. Malinen, Pasi Fränti
We present a -means-based clustering algorithm, which optimizes the mean square error, for given cluster sizes. A straightforward application is balanced clustering, where the s…
cs.LG2023★ 3 cited
Neighborhood Averaging for Improving Outlier Detectors
Jiawei Yang, Susanto Rahardja, Pasi Franti
We hypothesize that similar objects should have similar outlier scores. To our knowledge, all existing outlier detectors calculate the outlier score for each object independently r…