A novel supervised machine learning algorithm for intrusion detection k Prototype+ID3

A novel supervised machine learning algorithm for intrusion detection k Prototype+ID3

A novel supervised machine learning algorithm for intrusion detection k Prototype+ID3
... first data set, LLS DDOS 1.0, replicates a 3.5 hour attack scenario in which a trainee attacker starts a Distributed Denial of Service (DDOS) attack against a raw adversary. The second data set, ... Network Anomaly Data: Here we give brief description of each sub data set of NAD. The data set is extracted from MIT-DARPA network traffic, each data sub set contain artificial neural network-based ... anomaly or intrusion. Although having a low false negative rate and high false alarm rate, it can detect unknown types of attacks. The other is misuse detection. It establishes a feature library...
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt

Báo cáo khoa học:
... theRouge family allow for skip n-grams (Lin and Och,200 4a) ; Kauchak and Barzilay (2006) take para-phrasing into account; metrics such as METEOR(Banerjee and Lavie, 2005) and GTM (Melamed etal., ... Evaluation with Machine Learning A good automatic evaluation metric can be seen as a computational model that captures a human’s de-cision process in making judgments about the ade-quacy and ... Christopher Burges, andAlexander Smola, editors, Advances in Kernel Methods -Support Vector Learning. MIT Press.David Kauchak and Regina Barzilay. 2006. Paraphrasing for automatic evaluation. In Proceedings...
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Báo cáo khoa học: "A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity" pdf

Báo cáo khoa học:
... 1998) and Snowball (Agichtein and Gravano, 2000), because there is no gold-standard evaluation corpus available. We have adapted the evaluation method suggested by Agichtein and Gravano, i.e., ... Validation: Ranking and Filtering Our ranking strategy has incorporated the ideas proposed by Riloff (1996), Agichtein and Gravano (2000), Yangarber (2003) and Sudo et al. (2003). We take ... data set. If at all possible, the training data should ex-hibit a skewed distribution of reports to events. Actually, such training data may be the only realis-tic chance for reaching a large...
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Báo cáo hóa học: " Research Article A Machine Learning Approach for Locating Acoustic Emission" pdf

Báo cáo hóa học:
... the apparatus. The AE data werecollected with high-speed, CAMAC-based data acquisition14 EURASIP Journal on Advances in Signal Processing[9] M. Y. Park, T. Hastie, and R. Tibshirani, “Averaged ... crucialpatterns from the total AE data, as well as particular P-wavearrivals, may provide clues for distinguishing between realevents and extraneous signals, thus improving the spatialaccuracy ... performance. We note that the SVMs trained with 256-dimensional raw AE data had quite poor performance, wherethe AUC was 0.39 and 0.31 for datasets SR1 and SR2.We also examined the performance...
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Báo cáo hóa học: " Research Article A Supervised Classification Algorithm for Note Onset Detection" ppt

Báo cáo hóa học:
... gen-erate a beat histogram as a feature for music classification.They perform peak-picking as part of computing the beathistogram, whereas peak-picking is our primary goal here.Both Toiviainen and ... presented an algorithm that adds a supervised learn-ing step to the basic onset detection framework of signaltransformation, feature enhancement, and peak picking. OurSINGLE-NET variant used a sing ... DATASETTo learn this task correctly, we needed a dataset with accurateannotations that covers a wide variet y of musical styles. Ac-curacy is particularly important for this task because tempo-ral...
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Báo cáo khoa học: "cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models" potx

Báo cáo khoa học:
... mathematics of statistical machine translation: parameter estimation. Computational Lin-guistics, 19(2):263–311.D. Chiang, K. Knight, and W. Wang. 2009. 11,001 newfeatures for statistical machine ... rate training in statistical ma-chine translation. In Proc. of ACL, pages 160–167. K. Papineni, S. Roukos, T. Ward, and W J. Zhu. 2002.BLEU: a method for automatic evaluation of machine translation. ... source and target lan-guage, and alternative translation possibilities areexpressed as alternative edges. Edges are furtherannotated with feature values, and are annotatedwith the source span...
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Báo cáo khoa học: "A Unified Single Scan Algorithm for Japanese Base Phrase Chunking and Dependency Parsing" pdf

Báo cáo khoa học:
... Dependency ParsingManabu SassanoYahoo Japan CorporationMidtown Tower,9-7-1 Akasaka, Minato-ku,Tokyo 107-6211, Japanmsassano@yahoo-corp.jpSadao KurohashiGraduate School of Informatics,Kyoto ... UniversityYoshida-honmachi, Sakyo-ku,Kyoto 606-8501, Japankuro@i.kyoto-u.ac.jpAbstractWe describe an algorithm for Japaneseanalysis that does both base phrase chunk-ing and dependency parsing simultane-ously ... Linear-time dependency analysis for Japanese. In Proc. of COLING 2004, pages 8–14.S. Sekine, K. Uchimoto, and H. Isahara. 2000. Back-ward beam search algorithm for dependency analysis ofJapanese....
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Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot

Báo cáo khoa học:
... Joachims,Roy Lipski, Bo Pang and John Trenkle for kindlymaking their data or software available, and to theanonymous reviewers for their constructive com-ments. Thanks also to Nick Jacobi for ... Meeting of the Association for Com-putational Linguistics, Barcelona, Spain.Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan.2002. Thumbs up? Sentiment Classification using Machine Learning Techniques. ... Third An-nual Symposium on Document Analysis and Informa-tion Retrieval, pages 161–175, Las Vegas, Nevada.Kushal Dave, Steve Lawrence, and David M. Pennock.2003. Mining the Peanut Gallery:...
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Báo cáo khoa học: "A Semantic-Head-Driven Generation Algorithm for Unification-Based Formalisms" potx

Báo cáo khoa học:
... eat(john, X) 'John ate' ea~: (j olin, banana) 'John ate a banana' eat(john, nice(yellow(banana))) 'John ate a nice yellow banana' The generator of Section ... naar Kern. Forts, Dordrecht, Holland. Yuji Matsumoto, Hozumi Tanaka, Hideki Hi- rakawa, Hideo Miyoshi, and Hideki Yasukawa. 1983. BUP: a bottom-up parser embedded in Prolog. New Generation ... generalized that work allowing for its use in both a parsing and generation mode merely by setting the values of a small number of parameters. As a method for generating natural-language expressions,...
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Báo cáo khoa học: Biosynthesis of D-arabinose in mycobacteria – a novel bacterial pathway with implications for antimycobacterial therapy pdf

Báo cáo khoa học: Biosynthesis of D-arabinose in mycobacteria – a novel bacterial pathway with implications for antimycobacterial therapy pdf
... terminal Ara6 motifs: Arafb1fi 2Arafa1 fi 5 (A rafb1 fi 2Arafa1 fi 3)Arafa1 fi5Arafa1. About two-thirds of the terminal b-Arafand the penultimate 2 -a- Araf serve as attachmentsites for mycolic acids ... [26]. The branchedarabinan chains of the arabinogalactan are attached tothe linear galactan backbone. The arabinan consists ofan inner linear region of Araf-(1 fi 5) -a- Araf and ofbranched non-reducing ... the Ara6 motif similar to that present in arabi-nogalactan, and a simplified linear Ara4 motif: Ara-fb fi 2Arafa1 fi 5Arafa1 fi 5Arafa1. Some of thenon-reducing arabinofuranose termini are capped...
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