The LEAD Model: Introduces innovative benchmarking and risk adjustment to appeal to a broader mix of health care providers, including those with specialized patient populations and those new to ACOs.

At its core, the Common Service Data Model represents a standard and shared set of service-related definitions across our products and platform that will enable and support true service level …

We propose Re-cursive Language Models (RLMs), a general inference paradigm that treats long prompts as part of an external environment and allows the LLM to programmatically examine, …

The fifth edition of the ASCA National Model® provides a continued focus on school counselors’ use of data to identify student needs and measure student success.

This map represents state action or pending state action addressing the topic of the model. This map does not reflect a determination as to whether the pending or enacted legislation contains all …

Enhanced ER Modeling Concepts Although most properties of entities and relationships can be expressed using the basic modeling constructs, some of them are costly and di cult to express (and …

While Kernel SHAP improves the sample efficiency of model-agnostic estimations of SHAP values, by restricting our attention to specific model types, we can develop faster model-specific approximation …

Why spend much time talking about models? Modeling and simulation could take 80% of control analysis effort. Model is a mathematical representations of a system Models allow simulating and …

What is a Logic Model? A logic model is a graphic illustration of the relationship between a program’s resources, activities, and its intended effects. Logic models clearly and concisely show how …

We explore building generative neural network models of popular reinforcement learning environments. Our world model can be trained quickly in an unsupervised manner to learn a compressed spatial …