'Decision functions' diaporamas de présentation

MV Tant Networks and Decision Functions to minimize them

MV Tant Networks and Decision Functions to minimize them. Structure of classical TANT. MV TANT implicants and covering. Structure of MV - TANT. PLA-like structure for MV-TANT Four-variable, mixed function. Example 4.1. Fig. 4.1. Fig. 4.2. Fig. 4.3. Example 4.2. Fig. 4.1. Fig. 4.2.

367 views • 30 slides

A Non-Probabilistic Generalization of the Agreement Theorem

270 views • 20 slides

Bayes Decision Rule

Bayes Decision Rule. Comp328 tutorial 3 Kai Zhang. Outline. Basic notions Three examples Minimizing error rate Decision functions. Prior Probability. w - state of nature, e.g. w 1 the object is a fish, w 2 the object is a bird, etc. w 1 the course is good, w 2 the course is bad

273 views • 17 slides

Network Initiated Handovers

Network Initiated Handovers. Telemaco Melia Jouni Korhonen Rui Aguiar. Diff from version -00 in a nutshell. Broader scope (considerations on related work in 3GPP and IEEE) Clear definition of network initiated handover Security considerations added

186 views • 9 slides

Group asepro

Group asepro. ASEPRO CONSULTING. DECISION FUNCTIONS TO USING, FOR SYSTEMS OF REHABILITATION " WITHOUT DITCH ". Factors to considering, before the capture of decision, on: - the traditional Reinstatement, - or the Rehabilitation. ASEPRO CONSULTING. COSTS.

223 views • 8 slides