找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Yasemin Altun,Kamalika Das,Sa?o D?eroski Conference proceedings

[復(fù)制鏈接]
41#
發(fā)表于 2025-3-28 18:22:46 | 只看該作者
42#
發(fā)表于 2025-3-28 21:10:36 | 只看該作者
43#
發(fā)表于 2025-3-29 01:49:19 | 只看該作者
Automatic Detection and Recognition of Individuals in Patterned SpeciesWidespread usage of camera traps has led to large volumes of collected images, making manual processing of visual content hard to manage. In this work, we develop a framework for automatic detection and recognition of individuals in different patterned species like tigers, zebras and jaguars. Most e
44#
發(fā)表于 2025-3-29 04:13:02 | 只看該作者
Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting weather conditions, lagged values, and day types may affect electricity load consumption. We propose to use multiple kernel learning (MKL) for electricity load forecasting, as it provides more flexibilities than traditional kernel methods. Computation time is an important issue for short-term load
45#
發(fā)表于 2025-3-29 07:40:17 | 只看該作者
46#
發(fā)表于 2025-3-29 13:51:26 | 只看該作者
DC-Prophet: Predicting Catastrophic Machine Failures in ,ata,entersincrease the reliability of a datacenter? To answer these questions, we have studied what are probably the largest, publicly available datacenter traces, containing more than . events from . machines. Among these samples, we observe and categorize three types of machine failures, all of which are ca
47#
發(fā)表于 2025-3-29 18:06:59 | 只看該作者
Disjoint-Support Factors and Seasonality Estimation in E-Commercef sales every year, to make this forecast. In e-commerce setting, where the catalog of items is much larger than brick and mortar stores and hence includes a lot of items with short history, it is infeasible to compute seasonality for items individually. It is customary in these cases to use ideas f
48#
發(fā)表于 2025-3-29 20:09:35 | 只看該作者
Event Detection and Summarization Using Phrase Networkmely challenging because of the subtle difference between “events” and trending topics, the definitive rarity of these events, and the complexity of modern Internet’s text data. Existing approaches often utilize topic modeling technique and keywords frequency to detect events on Twitter, which have
49#
發(fā)表于 2025-3-30 02:59:50 | 只看該作者
50#
發(fā)表于 2025-3-30 07:25:38 | 只看該作者
Have It Both Ways—From A/B Testing to A&B Testing with Exceptional Model Miningach test subject is presented with one of the two variants, and the measure of success is aggregated per variant. The variant of the product associated with the most success is retained, while the other variant is discarded. This, however, presumes that the company producing the products only has en
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 04:56
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
方城县| 柳江县| 灵台县| 德昌县| 新竹市| 呼伦贝尔市| 汝城县| 钦州市| 万年县| 宾阳县| 进贤县| 视频| 理塘县| 正安县| 梁山县| 兴城市| 宁蒗| 广宁县| 凤台县| 永和县| 平昌县| 潢川县| 富锦市| 吴忠市| 鸡东县| 卓尼县| 湘阴县| 康乐县| 陈巴尔虎旗| 夏邑县| 安顺市| 和田县| 玛纳斯县| 泰州市| 南康市| 山东省| 新乡市| 罗田县| 舞钢市| 青阳县| 天长市|