Binary Classication Tree for Multiclass Classication with Observation-based Clustering
نویسندگان
چکیده
منابع مشابه
Combining weak learners with probabilistic models for binary classication
In this project it is addressed the problem of binary classi cation i.e. we want to nd a model F : X! f0; 1g for the dependence of a class c on x from a set of samples D = fct;xtgt=1 with ct 2 f0; 1g. The approach is to combine multiple base learners with the use of probabilistic models. In particular, I used the methodology presented by Ghersen eld for doing regression in complex time series[...
متن کاملMultiClass Object Classication in Video Surveillance Systems Experimental Study
There is a growing demand in automated public safety systems for detecting unauthorized vehicle parking, intrusions, un-intended baggage, etc. Object detection and recognition significantly impact these applications. Object detection and recognition are challenging problems in this context, since the purpose of the surveillance videos is to capture a wide landscape of the scene; resulting in sm...
متن کاملBinary Classification Tree with Tuned Observation-based Clustering
There are several approaches for handling multiclass classification. Aside from one-against-one (OAO) and one-against-all (OAA), hierarchical classification technique is also commonly used. A binary classification tree is a hierarchical classification structure that breaks down a k-class problem into binary sub-problems, each solved by a binary classifier. In each node, a set of classes is divi...
متن کاملA metric for software vulnerabilities classication
Vulnerability discovery and exploits detection are two wide areas of study in software engineering. This preliminary work tries to combine existing methods with machine learning techniques to define a metric classification of vulnerable computer programs. First a feature set has been defined and later two models have been tested against real world vulnerabilities. A relation between the classif...
متن کاملQuadratic lters for object classication and detection
We present a new class of non-linear correlation lters that produce arbitrary quadratic decision surfaces. These new lters rst linearly combine the outputs from other linear or non-linear lters using complex-valued weights. These linear combinations are then passed through a square-law function and again linearly combined to produce these decision surfaces. The linear correlation lters are desi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ECTI Transactions on Computer and Information Technology (ECTI-CIT)
سال: 1970
ISSN: 2286-9131,2286-9131
DOI: 10.37936/ecti-cit.201262.54335