◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ridwan Al Iqbal

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

most citedUsing Feature Weights to Improve Performance of Neural Networks

4 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2011★ 2 cited

A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation

Ridwan Al Iqbal

Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been s…

cs.LG2011★ 4 cited

Using Feature Weights to Improve Performance of Neural Networks

Ridwan Al Iqbal

Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fea…

cs.LG2010

Empirical learning aided by weak domain knowledge in the form of feature importance

Ridwan Al Iqbal

Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowled…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.