Sergey Babkin on CEP and stuff

This started as my thoughts on the field of Complex Event Processing, mostly about my OpenSource project Triceps. But now it's about all kinds of software-related things.

Sunday, December 29, 2024

realSEUDO and evaluation of activation profiles

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 (This is the part 3 of discussion of realSEUDO). When the activation profiles are generated, there are different ways to scale them that ba...
Sunday, December 22, 2024

LASSO-ISTA-FISTA

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This is a follow-up to the previous post, talking about the details of the optimization algorithms (in the math sense, i.e. trying to find a...

Triceps and realSEUDO at NeurIPS

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I've just come back from the NeurIPS 2024 conference. With Triceps listed as my organization. I've done a project with mentoring my ...
Saturday, September 28, 2024

why compilers are called compilers

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 An interesting tidbit from a recent IEEE Spectrum magazine https://spectrum.ieee.org/from-punch-cards-to-python : The very first "A-0 ...
Wednesday, May 15, 2024

unusual aggregations

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I've been doing a sizable amount of SQL querying, and it turns out the modern systems have some new and interesting aggregation function...
Tuesday, October 17, 2023

comparing the FloatNeuralNet options

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I've done a plot of the errors with multiple variations of the FloatNeuralNet options, using the Leaky ReLU as the least common denomina...
Sunday, July 2, 2023

trends

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Some time ago Linkedin started sending weekly e-mail with the trends for "your kind of jobs". Every week since it's been repor...
Saturday, June 3, 2023

the first actual use of Triceps

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 I've recently got Triceps used for a real application, for the first time ever, after approximately 13 years. Not really a production u...
Saturday, April 15, 2023

Bayes 29: computation for numeric values (and Python)

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As promised in the previous installment , here is the how the data science handles the Bayesian inference directly on the numeric values. Re...
Monday, April 10, 2023

Bayes 28: computation by weight revisited

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I've found out recently how the people in the data science compute the Bayesian inference for values from an arbitrary numeric range (as...
Monday, March 6, 2023

VNC How-to

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Theoretically speaking, an X terminal can work remotely through a tunnel with ssh -X. But in practice it does that very, very slowly. I don...
Saturday, February 18, 2023

arrested bouncing in FloatNeuralNet

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It's been a while since I wrote any updates about my experiments with optimization of neural networks. Partially, it's because I...

not MNIST

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 I've been reading a little more about what other people do with the MNIST recognition. Apparently, doing the transformations on the tra...
Sunday, January 15, 2023

trapeze to btimap for MNIST

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Continuing with the trapeze-based implementation of the handwritten images that I've described in the previous post, next I've tried...
Sunday, January 8, 2023

trapeze data representation for MNIST

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 As I've told before , the trouble with MNIST data set is that the test set contains the cases that are substantially different from any...
Thursday, January 5, 2023

unmelting a neural network

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I've got wondering, could a neural network that experienced a "meltdown" from a too-high training rate be restored? I've g...
Monday, January 2, 2023

optimization 13 - using the gradient sign changes

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 When I've previously experimented with FISTA momentum descent, one thing that worked quite well was detecting when some dimension of th...

a quick test of theory about MNIST

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 I've had this theory that the test set in MNIST just contains the digit images that are substantially different from the training set, ...
Sunday, December 25, 2022

optimization 12 - adaptable methods of neural network training

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 In the last post I've been wondering, why aren't the momentum descent methods widely used for the neural network training. And gues...
Thursday, December 22, 2022

optimization 11 - FISTA momentum descent in FloatNeuralNet

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Continuing from the previous post, I've had a look at the characters in the test set that have trouble getting decoded. Well, they truly...
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Sergey Babkin
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