Simple models

Given a collection of records (training set ) Each record contains a set of attributes, one of the attributes is the class. Find a model for class attribute as a function of the values of other attributes. Goal: previously unseen records should be assigned a class as accurately as possible. A test set is used to determine the accuracy of the model. Usually, the given data set is divided into training and test sets, with training set used to build the model and test set used to validate it.
101p trinh02 18012013 47 9 Download

Morphological segmentation has been shown to be beneﬁcial to a range of NLP tasks such as machine translation, speech recognition, speech synthesis and information retrieval. Recently, a number of approaches to unsupervised morphological segmentation have been proposed. This paper describes an algorithm that draws from previous approaches and combines them into a simple model for morphological segmentation that outperforms other approaches on English and German, and also yields good results on agglutinative languages such as Finnish and Turkish. ...
8p hongvang_1 16042013 17 2 Download

It is well known that occurrence counts of words in documents are often modeled poorly by standard distributions like the binomial or Poisson. Observed counts vary more than simple models predict, prompting the use of overdispersed models like GammaPoisson or Betabinomial mixtures as robust alternatives. Another deﬁciency of standard models is due to the fact that most words never occur in a given document, resulting in large amounts of zero counts. We propose using zeroinﬂated models for dealing with this, and evaluate competing models on a Naive Bayes text classiﬁcation task.
8p bunbo_1 17042013 20 2 Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Research Chemotherapy in conjoint agingtumor systems: some simple models for addressing coupled agingcancer dynamics...
15p toshiba17 28102011 17 1 Download

We propose a new, simple model for the automatic induction of selectional preferences, using corpusbased semantic similarity metrics. Focusing on the task of semantic role labeling, we compute selectional preferences for semantic roles. In evaluations the similaritybased model shows lower error rates than both Resnik’s WordNetbased model and the EMbased clustering model, but has coverage problems.
8p hongvang_1 16042013 23 1 Download

This chapter’s objectives are to: Formalize simple models of variables with a timedependent mean, compare models with deterministic versus stochastic trends, show that the socalled unit root problem arises in standard regression and in timesseries models,...
42p nomoney17 04072017 18 1 Download

Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams. Recent progress in hardware technology makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using the credit card or phone result in automated data storage, which brings us to a fairly new topic called data streams.
364p ken333 07062012 88 24 Download

Beginning Blender covers the Blender 2.5 release indepth. The book starts with the creation of simple figures using basic modeling and sculpting. It then teaches you how to bridge from modeling to animation, and from scene setup to texture creation and rendering, lighting, rigging, and ultimately, full animation. You will create and mix your own movie scenes, and you will even learn the basics of games logic and how to deal with games physics.
449p hoa_can 29012013 68 22 Download

The estimation process begins by assuming or hypothesizing that the least squares linear regression model (drawn from a sample) is valid. The formal twovariable linear regression model is based on the following assumptions: (1) The population regression is adequately represented by a straight line: E(Yi) = μ(Xi) = β0 + β1Xi (2) The error terms have zero mean: E(∈i) = 0 (3) A constant variance (homoscedasticity): V(∈i) = σ2
12p truongdoan 10112009 88 16 Download

The book deals with the MOS Field Effect Transistor (MOSFET) models that are derived from basic semiconductor theory. Various models are developed, ranging from simple to more sophisticated models that take into account new physical effects observed in submicron transistors used in today's (1993) MOS VLSI technology. The assumptions used to arrive at the models are emphasized so that the accuracy of the models in describing the device characteristics are clearly understood. Due to the importance of designing reliable circuits, device reliability models are also covered.
633p kennybibo 14072012 40 8 Download

TWO ESSAYS IN INTERNATIONAL ECONOMICS: AN EMPIRICAL APPROACH TO PURCHASING POWER PARITY AND THE MONETARY MODEL OF EXCHANGE RATE DETERMINATION I adopt a different strategy: I compare housing markets that differ in the strength of the residential locationschool assignment link, and I develop simple reducedform implications of parental valuations for the acrossschool distribution of student characteristics and educational outcomes as a function of the strength of this link.
122p mualan_mualan 25022013 26 8 Download

(BQ) Part 1 book "Multiphysics modeling using COMSOL" has contents: Modeling methodology, materials and databases, 1D modeling, 2D modeling, 2D axisymmetric 5 modeling, 2D simple MixedMode modeling.
477p bautroibinhyen18 23022017 9 7 Download

We describe a simple variant of the interpolated Markov model with nonemitting state transitions and prove that it is strictly more powerful than any Markov model. Empirical results demonstrate that the nonemitting model outperforms the interpolated model on the Brown corpus and on the Wall Street Journal under a wide range of experimental conditions. The nonemitting model is also much less prone to overtraining. The remainder of our article consists of four sections.
5p bunthai_1 06052013 21 6 Download

This innovative text presents computer programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machine. The book presents all major programming paradigms in a uniform framework that shows their deep relationships and how and where to use them together.After an introduction to programming concepts, the book presents both wellknown and lesserknown computation models ("programming paradigms"). ...
939p samsung_12 07052013 23 5 Download

The takeoﬀ manoeuvre of a vehicle was studied in Section 23.9 using a simple model where the inertia of both engine and vehicle were modelled as two ﬂywheels connected to each other by a rigid shaft and a friction clutch. This model can be made more realistic by adding the torsional compliance of the shaft, of the joints and possibly the gear wheels, as well as the rotational inertia of the various elements of the driveline. A model of the whole driveline is thus obtained, with the engine and vehicle modelled as two ﬂywheels located at its ends. However, the...
39p hiruscar 19102010 39 4 Download

What makes populations stabilize? What makes them fluctuate? Are populations in complex ecosystems more stable than populations in simple ecosystems? In 1973, Robert May addressed these questions in this classic book. May investigated the mathematical roots of population dynamics and arguedcounter to most current biological thinkingthat complex ecosystems in themselves do not lead to population stability.
234p phoebe75 01022013 24 4 Download

This work investigates supervised word alignment methods that exploit inversion transduction grammar (ITG) constraints. We consider maximum margin and conditional likelihood objectives, including the presentation of a new normal form grammar for canonicalizing derivations. Even for nonITG sentence pairs, we show that it is possible learn ITG alignment models by simple relaxations of structured discriminative learning objectives. For efﬁciency, we describe a set of pruning techniques that together allow us to align sentences two orders of magnitude faster than naive bitext CKY parsing.
9p hongphan_1 14042013 15 4 Download

We present a statistical model of Japanese unknown words consisting of a set of length and spelling models classified by the character types that constitute a word. The point is quite simple: different character sets should be treated differently and the changes between character types are very important because Japanese script has both ideograms like Chinese (kanji) and phonograms like English (katakana). Both word segmentation accuracy and part of speech tagging accuracy are improved by the proposed model. ...
8p bunrieu_1 18042013 16 4 Download

Tham khảo sách 'real functions in one variable examples of simple differential equations ii calculus analyse 1c5', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
116p sn_buon 29112012 24 3 Download

Analyzing future distributed realtime systems, automotive and avionic systems, is requiring compositional hard realtime analysis techniques. Well known established techniques as SymTA/S and the realtime calculus are candidates solving the mentioned problem. However both techniques use quite simple event models. SymTA/S is based on discrete events the realtime calculus on continuous functions. Such simple models has been choosen because of the computational complexity of the considered mathematical operations required for realtime analysis.
10p giamdocamnhac 06042013 23 3 Download