Lazy Learning
A Lazy Learning Model for Entity Linking using Query Specific Information
... In some other work, entity linking is also called named entity disambiguation using Wikipedia (Bunescu and Pasca, 2006; Cucerzan, 2007) or Wikification (Mihalcea and Csomai, 2007; Milne and Witten, 2008; Ratinov et al., ...
16
Attribute ranking based lazy learning associative classification
... Lazy learning method using Highest Subset Probability (HiSP) algorithm is introduced in [1] and ...different lazy classifier [13] that improved the classification ...another lazy ...
8
Adaptive ARIMA Model based on Lazy Learning Algorithm for Short Period Electric Load Forecasting
... Abstract—The short term electric load forecasting which is generally from one hour to one week is one of the intelligent electric grid (smart grid), for control of stable load supply hour-to-hour or day-to-day. The ...
5
Estimation of acute oral toxicity in rat using local lazy learning
... In this study, four kinds of local lazy learning schemes were combined with four similarity metrics to predict the acute toxicity in rat. Different from the conventional global QSAR models built upon the ...
11
Twitter Sentiment Classification Using Supervised Lazy Learning Method
... I feel great pleasure in submitting this paper on “Twitter Sentiment Classification using supervised lazy learning method”. I wish to express true sense of gratitude towards my Principal Dr. R. P. Singh and ...
6
Solving Multiple-Instance Problem: A Lazy Learning Approach
... Lazy learning is the framework in which training examples are simply stored for future use rather than used to construct general, explicit description of the target ...of lazy learning are ...
7
Blame Based Noise Reduction: An Alternative Perspective on Noise Reduction for Lazy Learning
... More recent case-based editing techniques combine noise reduction and redundancy reduction in separate stages (McKenna and Smyth, 2000; Wilson and Martinez, 1997; Brighton and Mellish, 2002), with the noise reduction ...
17
IRISA participation to BioNLP ST13: lazy learning and information retrieval for information extraction tasks
... For this first participation of IRISA to BioNLP shared tasks, simple models were implemented, using no domain-specific knowledge. According to the task, these models obtained more or less good rankings, but all have been ...
9
Improving Lazy Attribute Selection
... a lazy learning approach – which postpones the identification of relevant attributes until an instance is submitted for ...with lazy attribute selection technique: one that tries to identify, in a ...
16
Survey on Lazy Ensemble Methods for Improving Accuracy of Lazy Learner
... supervise learning is divided in to two parts Eagar and Lazy ...Eagar learning build decision theory form training instance and that theory is applied on all test ...Where Lazy learning ...
6
An Approach to Aggregating Ensembles of Lazy Learners that Supports Explanation
... Abstract: Ensemble research has shown that the aggregated output of an ensemble of predictors can be more accurate than a single predictor. This is true also for lazy learning systems like Case-Based ...
12
LACI: Lazy Associative Classification using Information Gain
... LACI was tested with thirteen datasets from the UCI Machine Learning Repository. The proposed system is compared with the traditional associative classifier and another variation of lazy learning ...
6
Diabetes Prediction using Machine Learning
... machine learning algorithm , or also popular and known as the lazy learning ,because it doesn’t use the training data at the time of training ,it directly make use of testing data ...machine ...
6
Stock Price Prediction Using K-Nearest Neighbor (kNN) Algorithm Khalid Alkhatib, Hassan Najadat, Ismail Hmeidi, Mohammed K. Ali Shatnawi
... machine learning algorithm that is considered as simple to implement (Aha et ...a lazy learning that does not build a model or function previously, but yields the closest k records of the training ...
13
Video Steganography Using Lazy Wavelet Transform
... A video is usually comprised of multiple frames. In this paper, some sequential frames of video are used, and each frame is used to store encrypted message in it. A steganography technique is usually used to store ...
9
Lazy buffer semantics for partial order scenarios
... We define the semantics of a lazy buffer realization for a scenario by generalising the algebra in [11]. In an asynchronous distributed envi- ronment there is no global coordination mechanism, so we must adapt the ...
30
Models for persistence in lazy functional programming systems
... Being applied systematically on a large scale, this technique would allow ad-hoc, user programmed sharing to be preserved, but the cost of doing all this in terms of programming effort and complexity would have increased ...
186
Lazy probabilistic model checking without determinisation
... The construction of the deterministic Rabin automaton used in the classical approach is often the bottleneck of the approach, as one exploits some variant of the approach proposed by Safra [16], which is rather involved. ...
13
'A lazy lout’ Joe Corrie and the heroism of labour
... Perhaps this real experience of mining, as well as Mousseron’s manipulation of humour, promise similarities and differences between the work of these Scottish and French miners turned wr[r] ...
9
Type based cost analysis for lazy functional languages
... by lazy evaluation: delaying evaluation of sub-expressions until they are actually needed for the overall ...For lazy evaluation, however, simply adding together the separate costs of producing and con- ...
34