The EvoSpaces reverse-engineering tool represents the architecture and metrics of complex software systems as 3D software cities. By navigating and interacting with this world, th...
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
With the increase of computer capabilities, many learning systems have become complex simulators with advanced interfaces close to game quality. However, many games features have n...
Many perception, reasoning, and learning problems can be expressed as Bayesian inference. We point out that formulating a problem as Bayesian inference implies specifying a probabi...
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...