Code

Adaptive Boosting (AdaBoost) Algorithm - Code

February 2022

Authors:

Pamir Shams

COMSATS University Islamabad

ResearchGate has not been able to resolve any citations for this publication.

ResearchGate has not been able to resolve any references for this publication.

Conference Paper

Full-text available

Search result optimization using user search history

October 2011

Search service which offers same result list to users using same query cannot satisfy user preference or burdens users with additional effort to find their interesting data. Listing up user preference data in first page of search result is the major factor for search performance. It can be a good work that search service offers suitable result to each user when several users having each interest ... [Show full abstract] area or major field inputted the same query. So we propose a method to personalize the search result using user search history data. And we make a target at service academic paper data having some classification codes such as the DDC (Dewey Decimal Classification) code. The search result personalization proceeds in two steps. user preference areas are first detected by analyzing search history data which are user query, search result per query, and records about user's detail view paging. And then boosting algorithm using pre-detected user preference are makes personalized search result. This rule lists up the good data to each user even if several users having different interesting area input same query.

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Shuyao Jiang

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The Price of Residential Land for Counties, ZIP Codes, and Census Tracts in the United States

December 2020 · Journal of Monetary Economics

Data from millions of appraisals in 2012-2019 are used to estimate residential land prices, the share of house value attributable to land, and related statistics down to the census-tract level for areas that include the vast majority of U.S. population and single-family housing. The results confirm predictions about land prices from canonical urban models. Over 2012-2019, we show that land prices ... [Show full abstract] rose faster than house prices in large metro areas, boosting the land share of house value, while the land share fell in smaller metros. The data are available for download at https://www.fhfa.gov/papers/wp1901.aspx.

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Boosting the Speed of Booth Multiplier Using Vedic Mathematics

January 2016

Vijayh Hallappanavar

A high speed processor depends greatly on the multiplier as it is one of the key hardware blocks in most digital signal processing systems as well as in general processors. This paper presents a high speed (8x8) modified booth multiplier which is quite different from the conventional booth multiplier. The most significant aspect of the proposed method is that, the developed multiplier is based on ... [Show full abstract] Vertical and Crosswise structure of Ancient Indian Vedic Mathematics. It generates all partial products and their sum in one step. This also gives chances for modular design where smaller block can be used to design the bigger one. So the design complexity gets reduced for inputs of larger number of bits and modularity gets increased. The proposed booth multiplier using Vedic mathematics is coded in VHDL (Very High Speed Integrated Circuit Hardware Description Language) and simulated using XilinxISE12.1. Finally the results are compared with conventional booth multiplier to show the significant improvement in its efficiency in terms of path delay (speed). The path delay has reduced by 44.35 % compared to the conventional booth multiplier path delay.

Adaptive Boosting (AdaBoost) Algorithm - Code

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