Explore a novel approach for detecting credit card fraud using a semi-supervised attribute-driven graph representation. The technique leverages temporal aggregation and attention layers to automatically unify heterogeneous categorical attributes and detect fraudulent transactions without label leaka

1 views • 23 slides

Explore the Cyber Security Toolkit for Boards which covers modules on embedding cyber security, understanding threats, risk management, developing a positive security culture, implementing measures, building expertise, identifying critical assets, collaboration with partners, and incident response.

2 views • 21 slides

Autoencoders (AEs) are neural networks trained using unsupervised learning to copy input to output, learning an embedding. This article discusses various types of autoencoders, topics in autoencoders, applications such as dimensionality reduction and image compression, and related concepts like embe

2 views • 86 slides

London Infrastructure Framework aims to improve planning and delivery efficiency, enhance project support, and promote sustainable growth in infrastructure development across London. The framework focuses on embedding sustainability, reaching net zero, and fostering innovation clusters to drive incl

1 views • 11 slides

The AnglE model introduces angle optimization to address common challenges like vanishing gradients and underutilization of supervised negatives in Large Language Models (LLMs). By enhancing the gradient and optimization processes, this novel approach improves text embedding learning effectiveness.

9 views • 33 slides

Academic Language Demands and Supports are crucial in educational settings to ensure comprehension and usage of language by students. This content discusses embedding language demands in lesson plans, providing language supports, and peer review activities to enhance academic language skills. The fo

6 views • 10 slides

EVStore presents a novel approach to scaling embedding tables in deep recommendation systems, offering a three-layer caching system that optimizes storage and caching capabilities. By leveraging groupability-aware caching, mixed-precision caching, and embedding approximation, EVStore achieves lighte

3 views • 33 slides

Utilize sans serif fonts, provide descriptions for visuals, and follow accessibility guidelines to ensure inclusive presentations. Tips include using clear background colors, avoiding long sentences, and embedding Alt Text for images. Remember to speak clearly and re-voice questions for audience com

0 views • 4 slides

An open-source tool called TritonPart offers a constraints-driven approach for general partitioning in VLSI physical design. It replaces hMETIS and is integrated with OpenROAD, providing features like multi-way partitioning and embedding-aware techniques. TritonPart shows significant improvements ov

1 views • 20 slides

Every young person deserves the chance to explore creativity and arts. Artsmark, accredited by Arts Council England, offers schools and settings a framework to enhance arts and cultural education. By participating in the Artsmark journey, schools can boost students' confidence, well-being, and leade

2 views • 6 slides

Explore the Inclusion, Wellbeing, and Equalities Professional Learning Framework focusing on diversity in the curriculum for Scotland's learners and educators. This resource provides slides for group or individual learning, facilitated discussions, and reflections to deepen understanding and support

2 views • 18 slides

MongoDB is a document-oriented database that challenges traditional relational databases by offering flexible schema designs. While myths suggest no need for schema design or relationships in MongoDB, the reality emphasizes the importance of thoughtful schema design and choice in data relationships.

2 views • 21 slides

Exploring the development of latent fingerprints through physical and chemical methods, conditions affecting latent prints, and various fingerprint development techniques like visual examination, powder techniques, and chemical techniques. Techniques such as alternate light sources and powder method

2 views • 22 slides

The Oregon Indian Child Welfare Act (ORICWA) enhances protections for Indian families by embedding federal law into state law and providing additional guidance to Oregon courts. This comprehensive guide covers the application of ORICWA, involvement of various parties, and criteria for determining In

1 views • 28 slides

Conditional use guidelines for partners of CAST in embedding, re-selling, or jointly selling CAST products, including permissions, requirements, and limitations to ensure the logos are used appropriately and do not harm the integrity or reputation of CAST trademarks.

0 views • 4 slides

Explore the CPFT's efforts to enhance their Discharge Medicine Service through targeted referrals, specific medication instructions, risk management strategies, and future plans for embedding DMS into practice seamlessly. Discover how they cater to different patient needs and ensure a smooth transit

0 views • 24 slides

Without embedding video in PowerPoint, this template offers a structured approach for constructing a compelling video case narrative presentation. Follow the detailed timeline guide, include short titles, acknowledge authors, disclose funding sources, and incorporate key keywords in your DDW written

0 views • 12 slides

Embedding Education for Sustainable Development (ESD) in the curriculum is crucial for meeting current needs without compromising the ability of future generations to meet their own needs. The concept of sustainable development encompasses social, environmental, and economic elements. Education for

6 views • 20 slides

Corruption Watch, a civil society organization, presents a detailed submission on the Public Procurement Bill [B18B-2023], highlighting key areas such as legislative reform, public participation, preferential procurement, transparency measures, independence of procurement entities, anti-corruption m

0 views • 16 slides

The similarity metric method for binary basic blocks is crucial in various applications like malware classification, vulnerability detection, and authorship analysis. This method involves two steps: sub-ldr operations and similarity score calculation. Different methods, both manual and automatic, ha

0 views • 20 slides

This presentation delves into the significance and methods of implementing positional encoding in Transformers for natural language processing tasks. It discusses the challenges faced by recurrent networks, introduces approaches like linear position assignment and sinusoidal/cosinusoidal positional

0 views • 15 slides

Enhance your Qualtrics surveys by incorporating videos to make them more engaging and accessible. Learn different methods, such as uploading video files, using URL links, and embedding videos. Follow easy steps to get started and adjust video sizes accordingly for a seamless user experience.

5 views • 9 slides

Explore the concept of word embeddings in natural language processing (NLP), which involves learning vectors that encode words. Discover the properties and relationships between words captured by these embeddings, along with questions around embedding space size and finding the right function. Delve

0 views • 28 slides

S-Parameter measurements in microwave engineering are typically conducted using a Vector Network Analyzer (VNA) to analyze the behavior of devices under test (DUT) at microwave frequencies. These measurements involve the use of error boxes, calibration techniques, and de-embedding processes to extra

0 views • 20 slides

Delve into the world of advanced computing techniques with Mrs. A. Mullai as she discusses networks, computing, and pervasive (ubiquitous) computing. Discover how networks facilitate data exchange, the role of computing in designing hardware and software systems, and the trend of embedding computati

2 views • 40 slides

Utilizing sketching in algorithmic design, Alex Andoni from Columbia University explores methodologies such as succinct efficient algorithms, dimension reduction, sampling, metric embeddings, and more. The approach involves numerical linear algebra, similarity search, and geometric min-cost matching

0 views • 18 slides

Librarians in African higher educational institutions play a crucial role in embedding NREN digital services. Studies reveal institutional weaknesses hindering librarian skills development and OA resource accessibility. The bigger picture involves the digitalization trend impacting information manag

0 views • 35 slides

Exploring deep learning techniques for solving the soft cutoff problem, this study by Miles Saffran discusses the MATERIAL project, data collection, methods like query embedding and TensorFlow construction, and presents results with training loss trends and performance variances. The conclusion sugg

0 views • 10 slides

This discussion covers various topics such as tents (or Carleson boxes), outer measures on the open upper half-plane, sizes of functions on tents, outer essential supremum on subsets, outer Lp spaces, embedding theorems, and estimates related to Linfity-Sinfty and weak L1-Sinfty. The content delves

0 views • 34 slides

Explore the strategies of making claims, providing evidence, and embedding quotations effectively in argumentative writing. Understand the importance of presenting factual statements, supporting claims with evidence, and integrating quotations seamlessly. Practice crafting strong arguments and refin

0 views • 16 slides

Learn how to seamlessly integrate quotes into your writing by blending them with your own words. Avoid quote floats and follow guidelines for embedding quotations effectively in your essays and written responses.

0 views • 11 slides

Word embeddings involve learning an encoding for words into vectors to capture relationships between them. Functions like W(word) return vector encodings for specific words, aiding in tasks like prediction and classification. Techniques such as word2vec offer methods like CBOW and Skip-gram to predi

0 views • 27 slides

Learn how to process PowerPoint slides, convert them to PDF, and enhance their quality for publication on JACoW. The tutorial covers splitting objects, checking fonts, embedding media, handling page sizes, and more. Meet the experts in the team and prepare your workstation for slide processing. Join

0 views • 11 slides

Explore the world of online publishing, social media strategies, and cellphone hacks with journalist Mary Owen. Gain insights into utilizing SEO, meta keywords, and graphics to enhance your content. Learn about engaging techniques like linking to past stories, using photo galleries, and embedding so

0 views • 14 slides

Word embedding plays a crucial role in unsupervised learning, allowing machines to learn the meaning of words from vast document collections without human supervision. By analyzing word co-occurrences, context exploitation, and prediction-based training, neural networks can model language effectivel

0 views • 25 slides

This research project aims to improve question answering over social media platforms by leveraging word embedding and summarization methods. The approach involves retrieving a large set of candidate answers from various sources, learning to rank these answers, and summarizing the top-ranked ones. Te

0 views • 22 slides

This work explores a novel approach in corporate climate assessment through applied NLP clustering, highlighting the relationship between climate risk and financial implications. The use of advanced techniques like BERT embedding for topic representation and clustering in corporate reports is discus

0 views • 33 slides

Sketching and embedding techniques are explored by Alexandr Andoni, Robert Krauthgamer, and Ilya Razenshteyn in the context of metric spaces. This research delves into the equivalence between sketching and embedding for various norms, addressing topics such as compressing high-dimensional objects, s

0 views • 15 slides

Latent fingerprints are hidden impressions left by the friction ridges of the skin which require physical or chemical techniques for visualization. Factors affecting latent prints include surface type, touch manner, weather, humidity, perspiration, and suspect care. Techniques such as visual examina

0 views • 22 slides

The Embedding Skills Audit Tool is designed to help establishments self-evaluate their skills approach against illustrative statements for the commit, embed, and mainstream stages. This tool provides guidance on scoring, focused discussions, and action planning to enhance skills implementation. By f

0 views • 7 slides