Multi-scale kernel function learning is a special case of multi-kernel learning, namely combines several multi-scale kernels. This approach is more flexible. It provides more comprehensive choice of ...

The drawback of SVM technique leads to a positive semidefinite quadratic programming problem with a dense, structured, positive semi-definite matrix, and also requires a set of kernel functions. We ...

Describe the bug Function calling using MCP is not using the specified JsonSerializerOptions, and it's breaking the json being sent to MCP servers. To Reproduce Steps to reproduce the behavior: Clo ...

Describe the bug Function calling is not working with AzureRealtimeWebsocket in Semantic Kernel. When adding a plugin to the kernel and passing it to the realtime session, the model doesn't respond ...