We introduce Modular Markovian Logic (MML) for compositional continuous-time and continuous-space Markov processes. MML combines operators specific to stochastic logics with operators reflecting the modular structure of the models, similar to those used by spatial and separation logics. We present a complete Hilbert-style axiomatization for MML, prove the small model property and analyze the re...

Minimum Message Length (MML) is a popular method for statistical inference, belonging to the Minimum Description Length (MDL) family. It is a general name for any of several computationally-feasible approximations to the generally NP-Hard Strict Minimum Message Length (SMML) estimator. One often-cited showcase for the power of MML is the Neyman-Scott estimation problem, where most popular estim...

Ensemble learning schemes have shown impressive increases in prediction accuracy over single model schemes. We introduce a new decision forest learning scheme, whose base learners are Minimum Message Length (MML) oblique decision trees. Unlike other tree inference algorithms,MMLoblique decision tree learning does not over-grow the inferred trees. The resultant trees thus tend to be shallow and ...

The present investigation examined the structural integrity of the aged hippocampus by using computer-aided morphometry to quantify the volume of principal hippocampal circuits in young, mature adult, and aged Long-Evans rats. A key feature of the experimental design was that the status of hippocampal-dependent learning and memory was documented prior to histologic evaluation. The following reg...

We propose a Multimodal Machine Learning method for estimating the Photometric Redshifts of quasars (PhotoRedshift-MML short), which has long been subject many investigations. Our includes two main models, i.e. feature transformation model by multimodal representation learning, and photometric redshift estimation transfer learning. The prediction accuracy was significantly improved owing to lar...

In this work, the effects of silicon (Si) supplementation were studied in pistachio (Pistacia veraL. cv Ahmadaghaii) plants exposed to high salinity stress. Plants were grown in pots undercontrol and salt (EC=15 dS m-1) conditions without or with Si treatment (0.35 g Na2SiO3 Kg-1soil) under field conditions. Salt stress reduced the plants’ growth significantly in both –Si and+Si plants; however...